Freelance python jobs for world-class Developers

In this project, we aim to build R/Python (prefer R) code to uncover complete trades for Fed decision events (February 2024-May 2025). On the poly market, users can bet on different events. Users can make predictions before the event happens.
The event can be settled at the expiration date. Once it is settled, it won’t be on the live market. We aim to collect complete trade data as well as complete user activity data from users who participate in the Fed decision betting.
Important Note: The main challenge currently is that the webpage on certain event only displays the recent trades. Please explore how we can uncover complete trades on that event. This is the key of the project.

Please read the Project description carefully.

• What are the websites that you have scraped that are related to financial data?
• The main challenge currently with poly market website is that it doesn't display all the trades. What is your solution to this problem?
• Describe your recent experience with similar projects

help fix a blocker issue when signing into google profiles through python

video explainer + code https://docs.google.com/document/d/176VXHJ6Z818Ox32WOJDufXekUeWGUVd2qR8dP5rUsz8/edit?usp=sharing

It prompts me to go through 3 screens after I sign in for a new account

and on each of these screens the code won't click the button, if i inspect element when the code is running it'll highlight everything in the page

We are looking for a skilled full stack Python developer to troubleshoot and resolve issues in our existing script. The ideal candidate should have a strong understanding of both frontend and backend technologies, with a focus on Python. Your expertise will help us ensure the script runs smoothly and efficiently. If you have a keen eye for detail and problem-solving skills, we would love to hear from you. Please provide examples of similar projects you have completed in the past.

🧠 Job Title: Freelance Developers to Build Enterprise-Grade RAG-Based AI Platform
📌 Overview
We are seeking a team of experienced freelance developers to build a scalable, secure, and production-ready AI platform inspired by Contextual.ai. The platform should leverage Retrieval-Augmented Generation (RAG) techniques to process and analyze large volumes of enterprise data, delivering accurate and context-aware responses.
🔧 Responsibilities
* Design and Development: Architect and develop a modular AI platform utilizing RAG methodologies, ensuring seamless integration between data retrieval and language generation components.
* Data Integration: Implement connectors to ingest and process both structured (e.g., databases, spreadsheets) and unstructured data (e.g., PDFs, HTML documents).
* Security and Compliance: Incorporate enterprise-grade security features, including role-based access controls, data encryption, and compliance with standards like SOC 2.
* Scalability: Ensure the platform can handle large-scale data processing and support deployment options such as SaaS, on-premises, or within a Virtual Private Cloud (VPC).
* Testing and Evaluation: Develop tools for evaluating the accuracy and reliability of AI responses, including mechanisms to detect and mitigate hallucinations.
🧰 Required Skills
* Backend Development: Proficiency in Python or Node.js for developing robust backend services.
* Machine Learning: Experience with natural language processing (NLP) and machine learning frameworks such as TensorFlow or PyTorch.
* Data Processing: Familiarity with tools for processing and analyzing large datasets, including experience with vector databases like FAISS or Pinecone.
* Cloud Services: Knowledge of deploying applications on cloud platforms like AWS, Google Cloud, or Azure.
* Security Best Practices: Understanding of implementing security measures and compliance protocols in enterprise applications.
✅ Preferred Qualifications
* Experience with RAG Systems: Prior work on projects involving Retrieval-Augmented Generation or similar AI architectures.
* Knowledge of Contextual AI Platforms: Familiarity with platforms like Contextual.ai and their approach to enterprise AI solutions.
* API Development: Experience in designing and implementing RESTful APIs for data ingestion and interaction with AI models.
* Frontend Development: Ability to develop user interfaces for interacting with the AI platform, using frameworks like React or Angular.
🗓️ Project Timeline
* Phase 1: Requirements gathering and architecture design – 2 weeks
* Phase 2: Development of core components and data integration – 6 weeks
* Phase 3: Implementation of security features and scalability enhancements – 4 weeks
* Phase 4: Testing, evaluation, and deployment – 2 weeks
💼 Deliverables
* A fully functional AI platform capable of processing and analyzing enterprise data using RAG techniques.
* Comprehensive documentation covering system architecture, deployment procedures, and user guides.
* A suite of tests ensuring the reliability, accuracy, and security of the platform.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• Include a link to your GitHub profile and/or website
• What frameworks have you worked with?

We are creating a fully functional cryptocurrency exchange with support for fiat transactions (USD/RUB ↔ cryptocurrency). The exchange should include a trading engine, wallets, KYC, payment gateways and comply with international security standards.

Responsibilities:
Exchange core development: matching engine, order book, transaction history.

Integration of fiat payment gateways (bank transfers, cards, processing) for USD/RUB

Realization of cryptocurrency wallets (hot/cold) with multi-signature support

Setting up KYC/AML (Identity Verification, Sanctions Screening)

Trade API development (REST/WebSocket)

Performance optimization for high loads

Security: protection against DDoS, injections, monitoring of suspicious transactions

Requirements:
Experience in developing crypto exchanges, fintech platforms or high-loaded trading systems (3+ years)

Knowledge of order matching algorithms (FIFO, Maker-Taker)

Experience with fiat payments: banking APIs, processors (e.g. Advcash, Payeer)

Deep knowledge of blockchain: working with nodes, transactions, commissions

Security skills: anti-tampering, code auditing, pentesting basics

Languages: Node.js/Python/Go + Rust/C++ (for high performance modules)

DB: PostgreSQL, Redis, TimescaleDB

Will be a plus:
Experience with regulatory requirements (FINTRAC, FATF)

Knowledge of liquidity mechanisms (Liquidity Pools, Market Making)

Setting up risk analysis (suspicious transactions, ford monitoring)

I am experiencing an issue with one of our GoHighLevel workflows, and we need a skilled professional to help troubleshoot and resolve it. The specific problem involves a trigger not executing as expected, causing delays in client follow-ups.

Key Requirements:

Strong expertise in GoHighLevel workflows and automation.

Experience troubleshooting triggers, actions, and integrations.

Ability to resolve issues quickly and provide a brief explanation of the fix.

Deliverables:

Identify the root cause of the issue.

Fix the broken trigger and ensure the workflow runs smoothly.

A short summary of what was done to resolve the problem.

If you can deal with GoHighLevel troubleshooting tasks and can deliver a solution quickly, please apply!

*Project Description:*

We are seeking an expert Django and Python developer to create a complete web administration application for our pet store.

*Features Needed:*

1. *Service Management:*
- Module to add combined services (Grooming + Bath)
- Module for individual services (Grooming only, Bath only, etc.)
- Form to register completed services

2. *Product Management:*
- Module to add products (medications, toys, food, etc.)
- Form to register sold products
- Django admin panel to add and remove products

3. *Analytics Dashboard:*
- Panel with business graphs and metrics
- Sales visualization, most requested services
- Best-selling products analysis
- Revenue reports and general statistics

*Experience Needed:*
- Minimum 3 years of experience with Django
- Advanced knowledge in Django ORM
- Experience in dashboard development
- Experience in graphics and analytics integration

*Deliverables:*
- Fully functional web application
- Code documentation
- Basic user manual
- Deployed application on PythonAnywhere

*Delivery deadline: 5 days*

We are looking for a mathematician or mechanical engineer to implement the Navier–Stokes equations in Python

Feel free to use existing open-source code or library

I'm looking for a skilled developer (or team) to help me build a web-based tool that allows users to input their body measurements and automatically generate a custom sewing sloper (basic bodice and sleeve block). This project is based on my system, and the drafting logic will be provided.

The tool should use the entered measurements to generate a downloadable pattern file (PDF and/or SVG) of a fitted or dartless bodice and sleeve, depending on user preferences.

Key Requirements:

Build a simple and user-friendly web interface to input body measurements

Use formulas (provided) to generate vector-based sewing patterns

Include logic options for woven vs. knit and darted vs. dartless slopers

Output patterns in PDF and/or SVG format

Optional: Save user profiles or measurement history

Deliverables:

Fully functional web-based MVP

Clean front-end design (mobile-optimized preferred)

Source code and deployment instructions

Technical documentation for pattern logic implementation

Preferred Skills:

Front-end web development (React, Vue, or similar)

Back-end experience with mathematical computation (Python or Node.js)

SVG or PDF generation

Experience with fashion tech, patternmaking, or 2D CAD is a huge plus

Familiarity with pattern drafting methods is a bonus (not required if willing to follow provided drafting logic)

Budget:
Please include your estimated cost and timeline in your proposal. I am open to fixed-price or milestone-based contracts.

To apply, please:

Share relevant experience with similar tools or projects

Let me know your preferred stack and why it fits

Tell me how you'd approach pattern rendering from measurements

Include any questions you have about the drafting logic or process

We are seeking an experienced AI Prompt Engineer to enhance our existing chatbot. The ideal candidate will have a strong background in natural language processing and experience in refining chatbot prompts to improve user interactions. Your role will involve analyzing current performance, identifying improvement areas, and implementing innovative prompt strategies. If you are passionate about AI and have a proven track record in chatbot optimization, we would love to hear from you!
Plz fill "I'm not bot" in head of cover letter when bidding.

HTML engineer required for urgent posting. Should be able to start immediately

We are seeking a freelancer to complete the SMS registration process for a Grasshopper number based in California. The ideal candidate should have experience with Grasshopper's services and be familiar with the SMS registration requirements. Your role will involve completeing the necessary steps, ensuring that our Grasshopper number is properly set up for SMS functionality. Attention to detail and effective communication skills are essential for this task.

Need to develop persoanlized odoo pos according request

We are a fast-growing AI company building cutting-edge intelligent platforms, our flagship AI+cloud cost optimization solution. We are looking for 2 highly experienced full-stack senior developers with AI/ML engineering and LLM-powered agent development skills.

You will join our ongoing development team, building the next-gen autonomous agents and cloud-native systems for real-time enterprise decision-making. This is a serious opportunity to work with a senior-level global team on game-changing technology.

What You Will Work On
Intelligent agents that query, reason, and act over real-time data

Full-stack AI applications (React + FastAPI/Django)

Custom LLM workflows, embedding pipelines, and vector databases

Integration with Microsoft Fabric, Azure ML, OpenAI, LLAMA, and cloud providers

LangChain, LlamaIndex, and multi-agent orchestration

Skills Needed
Backend & API Development
Python (FastAPI, Django), Node.js
PostgreSQL, Celery, RESTful APIs
Microsoft Fabric and Azure ML integration

AI/ML & Agent Development
GPT-4, Claude, Llama, Hugging Face, OpenAI API
LangChain, LlamaIndex, ReAct/BabyAGI-style agents
RAG, embeddings, vector DBs: FAISS, ChromaDB, Weaviate
Prompt engineering, agent workflows, NLP/NLU, OCR

Frontend
React.js, Tailwind CSS, ECharts
Dashboard design, data insights & agent interface

☁️ Cloud & DevOps
Azure, AWS, GCP, Docker, K8s, GitHub Actions
CI/CD and secure, scalable infrastructure

👥 Collaboration & Culture
Work closely with our AI, cloud, and full-stack teams
Participate in agile sprints and product delivery
Own features from idea to implementation
Contribute to AI platform

✅ What We are Looking For
8+ years full-stack experience

Proven AI/ML engineering background
Expertise with LangChain or similar frameworks
Strong architecture, systems, and debugging skills
Startup mindset: proactive, problem-solver, fast execution

I am looking for NSE based option greeks software developer.

Project Scope:

Audit our current Slack setup and provide recommendations for improvements
Design and implement custom workflows using Slack's Workflow Builder
Create automated processes for routine tasks and notifications
Develop custom slash commands and integrations
Configure channels, permissions, and workspace settings for optimal organization
Implement third-party app integrations that enhance productivity
Set up automated onboarding workflows for new team members
Create custom notification systems to reduce noise while ensuring important messages are highlighted
Design interactive elements (buttons, forms, modals) for better user engagement
Implement analytics and reporting dashboards for workspace usage

Required Skills:

Proven experience with Slack API and Bolt framework
Strong knowledge of Slack's Workflow Builder and automation capabilities
Experience creating custom Slack apps, slash commands, and integrations
Proficiency in JavaScript/Node.js or Python for Slack app development
Understanding of webhooks, OAuth, and API authentication
Experience with third-party integrations (Zapier, Google Workspace, GitHub, etc.)
Knowledge of best practices for Slack workspace management
Familiarity with serverless functions (AWS Lambda, Google Cloud Functions)

Nice to Have:

Experience with Slack Enterprise Grid
Knowledge of data visualization tools for creating dashboards
UI/UX design skills for creating intuitive Slack interactions
Previous experience optimizing Slack for remote teams
Certifications in Slack administration or development

We are seeking a highly capable Full Stack Developer with strong experience in Python, Django, and AI/ML integration to support the development of a lightweight AI-powered web application. The ideal candidate is comfortable working across both backend and frontend, integrating APIs, and deploying clean, scalable code.

Key Responsibilities:

Build and maintain backend services using Python and Django.

Design frontend components using basic HTML/CSS or a JS framework (optional).

Integrate AI models or APIs (e.g., OpenAI, Hugging Face) into the app.

Develop secure API endpoints and handle data processing.

Ensure the app is lightweight, responsive, and production-ready.

Provide documentation and setup instructions upon delivery.

Requirements:

Strong experience with Python and Django framework.

Familiarity with AI/ML APIs and model integration.

Basic frontend knowledge (HTML, CSS; JS optional).

Ability to write clean, modular, and well-documented code.

Prior experience delivering full-stack projects independently.

Strong communication and ability to deliver under tight timelines.

Preferred Skills (Bonus):

Experience with FastAPI, Streamlit, or Flask.

Familiarity with hosting on platforms like Heroku, Vercel, or AWS.

Previous work involving chatbots, NLP models, or LLMs.

Project Timeline:
Immediate start preferred. Project duration is 1-2 weeks, with potential for future collaboration.

How to Apply:
Please include:

A brief overview of your experience with Django and AI integration

Links to any relevant GitHub repos or portfolio pieces

Your availability (including time zone) and expected hourly rate

We are working on creating Ai based products and data and sever management

I am looking for help integrating n8n with my CRM in order to generate certain reports.

I can send screenshots for more context for the scope of work

https://help.smartmoving.com/en/articles/3994387-smartmoving-lead-api-integration-guide

Tristyn P.

I plan to rent GPUs and want my script built using Rust. Real ETH Brute Force on at least 8 known words. User will enter their words, full/partial or zero address and how many workers their script will be using. I already have started building script but needs improvement to get it fully working. Utilising GPUs threads/power etc is ultimately important. Mission Provide a robust, GPU-accelerated BIP39 mnemonic recovery utility for Ethereum. The tool should:
Dynamically accept known seed words, target address (full, prefix, or zero), and number of workers (GPUs/threads) at runtime.
Distribute the unknown mnemonic search space evenly across workers.
Resume interrupted work via per-worker offset files (workerN.offset).
Log found mnemonics to found_seeds.txt and gracefully shut down all workers.

Current Architecture
CUDA Kernel gpu_kernel.cu / .ptxImplements BIP39 checksum validation, seed derivation (PBKDF2-HMAC-SHA512, secp256k1 keypair generation, and Ethereum address matching.

Rust CLI main.rs

Parses arguments with clap.

Loads the BIP39 wordlist.

Spawns one thread per worker.

Each thread calls a per-GPU init_gpu_context device_id and constructs its own GpuWorker.

GPU Wrapper gpu_wrapper.rs

Exposes init_gpu_context deviceid

GpuWorker::new converts inputs to indices and initializes the CUDA stream and kernel function.

GpuWorker::run() divides the search space, launches the kernel, synchronizes, and writes updated offsets.

Outstanding Issues

CUDA Launch API mismatch: The current function.launch call isn’t resolving. The cust crate version pinned to 0.2.2 requires importing the correct launch trait or using the launch! macro.

Thread safety: Ensured each thread has its own Context and Module, but signature mismatches remain in main.rs and gpu_wrapper.rs.

Action Items for Developer

Fix the CUDA launch call in gpu_wrapper.rs:

Inspect cust::function::Function in docs to import the correct launch trait (e.g. Launch) or use launch! macro.

Verify function signatures:

Ensure init_gpu_context uses Context::create_and_push correctly.

Confirm Module::load_from_string accepts &CStr.

Adjust main.rs argument order and types:

Pass module not &module or borrow appropriately per GpuWorker::new signature.

Test end-to-end:

Run ./start_everything.sh, validate resume, offset, and found-mnemonic behavior.

Development Environment

Rust 1.65+ with cust = "0.2.2"

CUDA Toolkit matching local GPU drivers.

Bash scripts: start_everything.sh, launch_watchdog.sh, gpu_health_monitor.sh unchanged

Want to see a working copy of script utilising at least 4 GPU. Github: https://github.com/KOWHAIKIWI/BruteForceEthGPU

Developer’s Brief for Nirantar
Phase 1 Development

Objective:
To build the first phase of a modular, high-speed cloud-based trading system, starting with a single strategy: the Independent Lot Strategy, operating in both Buy and Sell modes, with integration of two broker trading accounts (Zerodha and Fyers).

This system will serve as the core foundation for a larger suite of 50+ trading strategies and AI/ML tools, integrating 10-12 broker trading accounts, dozens of indicators, live news feeds, charts, and custom watchlists in future phases.

Scope for Phase 1:
1️⃣ Strategy: Independent Lot – Buy & Sell Modes
Each lot is an autonomous trade unit with:
Individual entry/exit logic
Independent SL, target, revisit locks, and P&L tracking
Unique lifecycle, not dependent on other lots
Both Buy Mode and Sell Mode for F&O and equity must be supported
Multiple lots will run in parallel, fully independent
System must handle in excess of 1000 lots simultaneously
Includes 5–7 real-time meters (e.g., IV Meter, Range Meter, Momentum Meter) integrated into entry/exits

2️⃣ Broker Integration:
Integrate 2 live broker accounts:
Zerodha and Fyers
Develop a Smart Order Management System (OMS) with:
Real-time fund check across both accounts
Smooth, automatic mid-trade switching in case of fund shortfall or order rejection in one account
Ability to tag lots by account and track execution status separately
Broker Auto-Fallback Logic if the primary broker is unresponsive for more than 3 seconds

3️⃣ Architecture & Tech Goals:
Must be designed as a scalable web application to:
Easily plug in future strategies, indicators, accounts, and watchlists
Integrate AI/ML modules and live news feeds in later stages
Must support sub-250 ms internal processing time
Hosted on cloud infrastructure (preferably AWS, Azure, DigitalOcean, or Railway)
DevOps setup for Continuous Integration (CI), Continuous Deployment (CD) and version rollback protection
FastAPI or Node.js for asynchronous processing and real-time trade execution
WebSocket fallback layer with Message Queues for real-time data consistency
Backup Database Logic (Redis/Postgres) for failover protection

4️⃣ Frontend & Display Requirements:
Build a responsive, real-time UI Dashboard:
Real-time P&L per lot
Lot lifecycle status (active, exited, locked)
Strike grouping, lot filtering
Real-time alerts (SL hit, target hit, account switch)
Grafana dashboard for live monitoring
UI should also reflect:
Current capital status per account
Global kill/pause options
Meter values affecting trade logic

5️⃣ Security & Compliance:
Sign a strict NDA before development begins
Implement 2-FA login system for dashboard access
Store no sensitive data in plain text
Developer must follow IP & code handover clause per milestone
Ensure no hidden code hooks or backdoors
Audit Logs for all user actions (force exits, manual overrides, broker switches)

6️⃣ Payment Schedule:
Milestone-based payments:
_ % upfront upon signing of the agreement and NDA
_% upon demonstrating a functioning prototype with partial broker integration and UI component
__% after completion of Broker Integration and OMS module
__% after completion of UI and Frontend Dashboard
__% after completion of Strategy Logic and Meters
__% upon final testing, documentation, and deployment on cloud

7️⃣ Regular Code Transfer:
Developer must provide code transfer and documentation at the completion of each milestone
Handover must include:
Source code
Architecture diagram
Configuration files
API integrations
Testing scripts
Log files

8️⃣ Complete Documentation:
Developer must provide:
Setup and deployment instructions
API usage and endpoints
Configuration settings and explanation
Error handling and troubleshooting guide
Architecture blueprint and process flow

9️⃣ Post-Delivery Support:
Minimum 50 days of post-delivery support to handle:
Bug fixes
API connection issues
Basic troubleshooting
Option for extended support upon request

🔟 Third-Party Data Provider Integration:
System should be capable of integrating with third-party data providers for:
Real-time options chain
Market news
IV data
Sentiment analysis

1️⃣1️⃣ Test Simulator:
Developer must create a simulator for testing trades without real money before going live.
It should replicate live market conditions with broker APIs for realistic testing.

Timeline:
Complete delivery in 30-35 calendar days
Must follow a milestone-based approach
Milestone handover must include: tested code, source files, logs, UI, and config

Deliverables (Phase 1):
Fully working web application (front-end + backend)
Zerodha and Fyers integration
OMS with dynamic account switching and Auto-Fallback Logic
Independent Lot engine with Buy/Sell modes
5–7 core meters embedded
Live UI dashboard with Grafana monitoring
Deployed and tested on a cloud server
Simulator for Paper Trading
Source code, logs, and documentation handover at every milestone

Basic Outline of the Strategy

Buy Mode Features
1. Entry & Re-Entry Logic
System enters buy-side trades based on user-configurable filters and market conditions
Upon profitable exit, a fresh trade may be created (based on entry logic & meter validation)
2. Counter-Lot on Loss
When a trade hits a user-defined loss threshold (%-based):
A counter-lot is created using defined rules (e.g., lower premium instrument)
New counter-lot is treated as independent
3. Trigger Memory (Revisit Lock)
Each lot tracks the price/action levels where it has taken action
Repeat action is blocked for the same lot at the same level
Other lots may act freely at the same level
4. Exit Management
Exits are handled via trailing profit booking logic
No stop loss — system exits only when trailing trigger is hit
Post-exit behavior (e.g., create new trade or not) is controlled by filters/meters and user settings
5. Trade Entry Filters
Trades in Buy Mode are governed by a multi-meter system (6-7 meters, toggleable, three of which are given below):
Theta Meter (e.g., time decay risk)
IV Meter
Trend Meter
New trades are permitted only if meter conditions are met (logic defined by user)

Sell Mode Features
1. Multi-Level Entry Support
System supports simultaneous trade entries at multiple market-defined levels
Levels configurable as:
Strike offsets
Price ranges
Points from spot/index
Each level = 1 or more lots, managed independently
2. Loss Trigger → New Lot Creation
On loss trigger, system auto-generates a new lot
Entry methods (user-configurable):
Fixed premium
Match trigger lot price
Escalating premium series
New lot is independent, no link to the trigger lot
3. Revisit Lock
Each lot maintains memory of action zones
No duplicate action for the same lot at the same level
4. Profit Exit + Refresh
On hitting profit target:
Trailing logic is applied
On exit, system may auto-create a new lot/pair (based on user preference)
5. Event-Based Auto Entry
System supports time-based or movement-based entry triggers
Every X minutes
Every Y points of movement
Each such entry is independent and obeys the global lot cap
6. Decay-Based Rotation Logic
System can track time/price decay for aging lots
If decay exceeds user-defined threshold:
Exit top-performers (e.g., top 20% by P&L)
Replace with fresh entries
7. Optional Protective Component
Each core trade can be accompanied by a protection leg (hedge)
Configurable by cost and distance
Maintains 1:1 pairing
Toggleable by user

Risk & Capital Management
1. Global Lot Cap
User defines maximum number of active lots (e.g., 30)
When approaching cap (e.g., at 28):
System exits the most profitable lot
Ensures continuous operation without margin breach
2. End-of-Day Protocol
At predefined time (e.g., 3:00 PM), prompt user:
Carry All
Exit profitable, hedge remaining
Exit all and restart next day
Restart logic and hedge settings are user-defined

User Configurable Parameters (Must be modular)
Entry type (ATM/OTM/ITM or by premium range, Call/Put/Futures)
Trigger thresholds (profit %, loss %)
Refresh conditions
Time or movement-based entry intervals
Protective leg toggle and rules
Meter thresholds and logic
Global lot cap
Exit rules (trailing logic depth and conditions)
Carry behavior at EOD

We are seeking a skilled developer to create a logic page that computes averages based on multiple user inputs. The ideal candidate will have experience in web development and be able to design an intuitive interface that allows users to easily input data and view results. Knowledge of JavaScript, HTML, and CSS is essential for this project. If you have a keen eye for detail and can deliver clean, efficient code, we would love to hear from you. Please provide examples of your previous work related to similar projects. The completed page should be responsive in WordPress for our current site. we are looking for a user to input a dollar amount for the following, electric, fuel oil, propane, natural gas, insurance, home loan, property taxes, then provide how many days this covers while occupied by renters. then need the same information filled out but unoccupied by renters, the resulting computation will show the difference of the daily cost of having in the rental per day and no one in the rental per day as well as the percentage difference between the two.

• Do you have extensive WordPress experience?
• Describe your recent experience with similar projects

We're seeking an innovative AI Agent Builder & Creative Technologist to join our team, designing and implementing cutting-edge AI solutions for our diverse client roster. This unique role combines technical AI agent development with creative content production, helping clients leverage AI to achieve their business and marketing objectives. This position will serve all our clients, including BlueBound and others across various industries. The ideal candidate is comfortable working at the intersection of technology and creativity, using AI tools to build custom solutions and create engaging digital content.
Key Responsibilities
AI Agent Development

Design, build, and deploy custom AI agents tailored to specific client needs
Develop conversational AI systems that enhance customer experiences across various platforms
Create workflow automation tools using AI to improve client operational efficiency
Implement and customize large language models (LLMs) for specialized business applications
Establish testing methodologies to ensure AI agent reliability and performance
Document AI systems and provide training for client teams

Creative AI Production

Transform approved scripts into viral-ready commercials and social media reels using AI tools
Develop AI-powered content workflows that maintain brand consistency while scaling production
Create compelling visual content using generative AI and video synthesis technologies
Implement AI tools for video editing, sound design, and post-production enhancement
Stay at the forefront of emerging AI creative tools and integrate them into our production pipeline
Balance AI implementation with human creativity to achieve authentic, engaging content

Strategy & Innovation

Advise clients on AI integration opportunities within their existing business models
Identify new use cases for AI technology based on client objectives and industry trends
Collaborate with our strategy team to align AI solutions with broader client goals
Research emerging AI technologies and evaluate their potential applications
Develop frameworks for measuring the impact and ROI of AI implementations
Build proof-of-concept demonstrations to showcase capabilities to clients

Required Qualifications

Experience with AI development platforms and large language model APIs (OpenAI, Anthropic, etc.)
Knowledge of prompt engineering and LLM customization techniques
Understanding of conversational design principles and natural language processing
Familiarity with AI video and image generation tools
Basic programming skills (Python preferred) for customizing and deploying AI solutions
Experience with collaborative AI tools and workflows
Portfolio demonstrating creative problem-solving and technical implementation

Preferred Qualifications

Background in "vibe coding" or creative technology implementation
Experience with generative AI for video production
Knowledge of marketing and content strategy
Understanding of user experience design
Familiarity with AI ethics and responsible implementation practices
Experience with AI workflow automation tools
Background in digital marketing, content creation, or creative technology

Personal Attributes

Creative mindset with strong technical aptitude
Enthusiasm for emerging technologies and willingness to continuously learn
Ability to explain complex technologies in accessible terms to non-technical stakeholders
Comfort with ambiguity and rapidly evolving technological landscapes
Collaborative approach to working with creative, strategy, and technical teams
Problem-solver who can identify opportunities for AI to address business challenges
Balanced perspective on AI capabilities and limitations

We Offer

Access to the latest AI tools, platforms, and subscriptions
Dedicated training and development for the right candidate who shows potential
Opportunity to shape the future of AI integration across diverse client projects
Collaborative environment that values both technical expertise and creative vision
Hands-on experience building real-world AI applications with measurable impact
Freedom to experiment with cutting-edge technologies and innovative approaches

This position offers a unique opportunity to work at the frontier of AI technology and creative production. The ideal candidate will combine technical knowledge with creative vision, helping our clients harness the power of AI to achieve their business goals while creating compelling, engaging content.

This position qualifies for enhanced training opportunities, performance bonuses and periodic merit based raises.

• Describe your recent experience with similar projects

About the Company
We are a growing technology company delivering custom software solutions across industries. We build web, mobile, and cloud applications for clients worldwide, focusing on quality, innovation, and scalable results. We are seeking a Full Stack Software Developer to join our team and contribute to exciting projects in a collaborative environment.

Position Summary
The Full Stack Software Developer will work on both front-end and back-end development tasks, participate in system design, write clean and maintainable code, and collaborate with other team members to deliver high-quality software solutions. This role is remote and available to candidates based in the United States.

Key Responsibilities

- Develop and maintain web applications using modern frameworks and tools
- Collaborate with designers, developers, and project managers to define project requirements and deliverables
- Build and integrate RESTful APIs and third-party services
- Write clean, testable, and efficient code for both front-end and back-end systems
- Participate in code reviews and contribute to improving development best practices
- Debug, troubleshoot, and resolve technical issues as needed
- Optimize applications for speed, scalability, and security
- Stay current with emerging technologies and suggest improvements

Required Qualifications

- Must be based in the United States
- Proven experience as a Full Stack Developer or similar role
- Proficiency in both front-end and back-end development
- Strong knowledge of JavaScript, HTML, CSS, and at least one front-end framework such as React or Vue
- Experience with server-side programming languages such as Node.js, Python, Ruby, Java, or PHP
- Familiarity with relational and non-relational databases
- Understanding of version control systems such as Git
- Ability to write clean, well-documented, and maintainable code
- Strong problem-solving and communication skills
- Ability to work independently and manage priorities effectively

Preferred Qualifications

- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of DevOps practices and CI or CD pipelines
- Familiarity with containerization tools such as Docker
- Background in building scalable APIs or microservices

Location
Remote within the United States

Additional Notes

- This role is for U.S.-based candidates only
- Candidate must be authorized to work in the United States without sponsorship

We are looking for a proactive and skilled developer who enjoys solving complex problems, working across the stack, and contributing to high-quality software solutions. If you are passionate about technology and continuous learning, this role offers an opportunity to grow and make an impact.

We are looking to hire a skilled developer or AI specialist to integrate an AI-powered chatbot using OpenAI's GPT-4 API or any other into our real estate website. The goal is to provide a smart, interactive assistant for our visitors — helping them explore property listings, answer questions, and collect leads.

Core Features Needed:
Real-time chat powered by GPT-4 API (OpenAI)
Help users search for properties by location, budget, type, etc.
Answer FAQs about our services, locations, or listings
Collect user details for lead generation
Auto-reply with fallback to human support if needed

Tasks:

Set up chatbot frontend UI (widget or chat bubble) on the website.
Integrate with GPT-4 API using best practices for prompt design and safety.
(Optional) Connect chatbot to our property listings database or API for dynamic property suggestions.
Enable lead capture and optionally integrate with CRM (HubSpot, Mailchimp, or Google Sheets).
Provide an admin-editable configuration for modifying chatbot instructions (system prompt).
Ensure it works smoothly across devices and browsers.

Rate & Timeline
Hourly Rate: $20 – $25/hour
Estimated Hours: ~12 hours
Start Date: Immediate

To Apply:
Please include:
Brief outline of your proposed solution
Your availability and estimated time to complete

. We are building a HIPAA-compliant, Caspio-based hospital status and denial management application, integrating AI (e.g., GPT) to support real-time status recommendations, peer review notes, and appeals documentation. The platform will feature multiple front-end dashboards for nurses and physician advisors, real-time data intake, AI-powered processing, and Epic integration.

🔄 PHASED DEVELOPMENT STEPS
Phase 1: Front-End Intake (VUR Nurse Interface)
Caspio Web Form Interface

VUR nurse logs in and submits:

Patient Demographics

MRN

Reason for review (status review / denial)

Summary or attachments (optional)

Metadata tagging (urgency level, client hospital)

Phase 2: Central Dashboard (PREP Nurse Interface)
Task Queue Dashboard

All open requests appear with filters: hospital, age of request, urgency

Prep Nurse Interaction

Picks up a case

Manually uploads or pastes:

H&P, Progress Notes, Consults, Surgical Notes, Labs, Medications

Data Parsing & Preprocessing

Internal system extracts structured elements (e.g., SOAP, Diagnoses, Meds)

Removes redundant or irrelevant text (internal data cleansing)

Phase 3: Physician Advisor Review
Physician Advisor Dashboard

Sorted queue by urgency/client/turnaround time

Case Review

Advisor reviews cleansed data

Inputs a “soft signal” recommendation (Inpatient/OBS/Peer-to-Peer)

🤖 Phase 4: AI Model Integration via GPT (HIPAA-Compliant)
Data Sent to AI via API (e.g., GPT via Azure, AWS Bedrock)

Options:

RAG (Retrieval-Augmented Generation) for context-heavy decisions

Fine-tuned GPT model (if training data available)

Prompt engineering with structured templates

Parallel Processing (optional)

Send case to 2 HIPAA-compliant AI engines (e.g., Azure OpenAI + AWS Titan)

Compare outputs (recommendation + justification + appeal letter)

Combine/optimize response using logic layer (e.g., majority confidence, GPT summarizer)

Phase 5: Advisor Final Review & Output Delivery
Results Returned to Caspio

Status Recommendation

Peer-to-Peer Support Summary

Appeals Letter (if denial)

Advisor Final Check

Accept or request revised draft

Delivery

Email/Fax directly from Caspio

Option to integrate into Epic via FHIR API or HL7 routing

RECOMMENDED TOOLS (Per Step)
Phase Task Tool
1 Data intake Caspio Web App, Role-based logins
2 Queue & file uploads Caspio Dashboards, AWS S3 for attachments
3 Parsing/cleanup LangChain, spaCy, Python FastAPI
4 AI integration Azure OpenAI, AWS Bedrock, Skyflow (tokenization)
5 Parallel AI logic LangChain Chains, or custom Python orchestration
6 Advisor interface Caspio, with role-specific permissions
7 Delivery Twilio SendGrid (email), InstaFax, FHIR/HL7 Engine for Epic

We are looking for a skilled developer to create a dashboard for our pilot plant using MQTT protocol and Google Cloud Platform (GCP). The ideal candidate will have experience with real-time data visualization and cloud services. The project involves gathering data from the pilot plant's sensors, processing it on GCP, and presenting it through an interactive dashboard. If you have a passion for IoT and cloud technologies, we want to hear from you!

• Describe your recent experience with similar projects

We are seeking a skilled Python developer with a strong background in financial markets and experience with API integration. The ideal candidate will be responsible for creating a fully automated crypto futures trading system. You should have a deep understanding of cryptocurrency trading strategies, risk management, and market analysis. If you are passionate about building robust solutions and have proven experience in this niche, we would love to hear from you!

Platform: SafeMatch – Your Trusted Partner in Verification

1. System Overview
SafeMatch is a funds and identity verification platform that allows individuals and businesses to securely verify bank account ownership and match it to verified identity using facial recognition and ID document upload. The system supports both self-initiated verification and business-invited flows with embedded widgets and a white-label business portal.

2. Core Components
- Identity Verification (Facial recognition + ID upload)

- Funds Verification (via Plaid API)

- Redacted PDF report generator

- Admin dashboard

- Business client portal with invite system

- Embedded widget integration

- Multilingual support (i18n)

3. User Flows
A. Self-Initiated Flow

- Welcome screen - Language selection - Identity verification - Funds verification - Result download

B. Company-Initiated Flow

- Invite screen - Welcome with business name - Identity verification - Funds verification - Results sent to business

4. Tech Stack
- Frontend: React.js (Web), React Native (Mobile)

- Backend: Node.js or FastAPI (Python)

- Database: PostgreSQL

- Storage: AWS S3

- APIs: Plaid, Persona or Onfido, Twilio, SendGrid

5. Key API Endpoints
- POST /api/identity/verify

- GET /api/identity/status

- POST /api/funds/verify

- GET /api/funds/result

- POST /api/auth/login

- POST /api/business/invite

6. Security & Compliance
- AES-256 encryption at rest, HTTPS in transit

- SOC2/GDPR compliant practices

- Access logs and audit trails

- Role-based access (admin, business, user)

7. Deliverables
- Web application

- Mobile app (optional)

- Admin and business dashboards

- API and integration documentation

- Deployment plan and maintenance roadmap

We’re seeking a results-driven Operational Efficiency Consultant with deep experience in inventory optimization, strategic execution, and the smart integration of AI tools to drive meaningful improvements across our operational processes.

As a fast-growing eCommerce brand, we face challenges related to inventory turnover, demand forecasting, and cross-team coordination. We’re looking for a strategic partner who can not only audit and improve our current systems, but also bring AI-powered insights and automation into the mix to unlock scalability and efficiency.

Scope of Work:

Conduct a comprehensive audit of current inventory and operational workflows.

Identify bottlenecks in supply chain, fulfillment, and cross-department collaboration.

Use AI tools (e.g., predictive analytics, demand forecasting, process automation) to enhance inventory planning and reduce waste.

Recommend AI-driven solutions to improve visibility, reporting, and decision-making.

Create streamlined SOPs for key operations using a blend of traditional and AI-enhanced methodologies.

Build or advise on dashboards that combine operational and AI-derived insights.

Requirements:

Proven experience in operations consulting, inventory management, and execution strategy.

Hands-on knowledge of AI platforms, forecasting models, and automation tools (e.g., ChatGPT, Looker, Tableau, Python scripts, etc.).

Strong analytical skills; able to extract and interpret meaningful patterns from complex data sets.

Familiarity with ERPs, inventory software, and modern BI tools.

Ability to work autonomously and collaboratively across teams.

Preferred:

Experience in eCommerce, consumer goods, or omni-channel operations.

Familiarity with integrating AI into legacy systems or existing tech stacks.

Ability to train internal teams on AI tools and automation processes.

Deliverables:

Operational audit and AI integration opportunities report.

30/60/90-day roadmap with key milestones and success metrics.

Setup or enhancement of relevant AI/BI dashboards or automations.

Final summary report and SOP documentation.

About Us
We am hosting evidence-based psychopharmacology guidelines on a custom GPT chatbot interface. We are now seeking to develop a stand-alone mobile and web application that unifies it into a seamless, user-friendly platform.

📌 Project Goals
• Unified Learning Experience: Integrate PDF, and Word-based lessons with our AI chatbot into a single app.
• AI Chatbot Integration: Embed a context-aware chatbot (OpenAI API) capable of referencing our curated psychopharmacology documents for real-time mental health decision support.
• Secure & Compliant: Ensure HIPAA-conscious design with encrypted data handling, audit logs, and secure authentication.
• Flexible Subscription Model: Implement tiered plans (Student, Pro, Enterprise) with in-app purchases (Stripe integration).

Key App Features (Psychiatry-Focused)

• Instant Treatment Recommendations
• Auto-Generated Clinical Documentation
• Drug Interaction & Polypharmacy Alerts
• CPT Codes
• ICD-10 Diagnosis Validation
• Patient Education & Safety Counseling
• Treatment Plan
• Monitoring & Safety Alerts
Core Functional Modules
1. AI Chatbot
o Real-time psych Q&A
o Save chats, view sources (with DOI citations)
o Use document embeddings for smarter answers
2. Course Library
o PDF/Word document viewer with highlighting, note-taking, and smart search
o Video streaming or offline access
3. Quiz & Assessment Engine
o MCQs, board-style timed tests, clinical vignettes, and score tracking
4. User Management
o Social logins (Google/Apple)
o Role-based dashboards (Student, Admin, Faculty)
o Optional SSO for institutions
5. Billing & Analytics
o Stripe integration for individual and group licensing
o Usage metrics, crash tracking (Firebase or Sentry)

Preferred Tech Stack
• Frontend: React Native + Expo or Flutter
• Backend: Node.js (Express or NestJS), PostgreSQL
• AI: OpenAI GPT API with vector embedding for semantic search
• Hosting: AWS (Cognito, Lambda, S3, CloudFront) or comparable cloud setup

✅ Who We’re Looking For
• Experience with OpenAI or other LLM integrations
• Familiarity with HIPAA/ requirements
• Strong UI/UX skills; ability to follow Figma or wireframe-based designs
• Solid communication and Agile project management experience

📩 How to Apply
• Brief cover letter summarizing relevant healthcare or AI chatbot projects
• Estimated timeline, budget, and post-launch support options

We’ll review applications within 48 hours and schedule interviews with shortlisted candidates promptly.