Freelance python jobs for world-class Developers

About Us

Scrapingdog is a web scraping and data extraction platform that helps developers collect data from websites at scale through APIs and scraping infrastructure.

We’re looking for a technical content writer who can create high-quality, developer-focused content for our blog.

Initial Articles

You’ll start with these 4 articles:

Best Bright Data Alternatives in 2026
Best DataForSEO Alternatives in 2026
How to Scrape Google Hotel Prices with Python
How to Scrape Reddit with Python

What We’re Looking For

Strong technical writing skills
Experience writing about:
Web scraping
APIs
Python
Data extraction
Developer tools / SaaS
Ability to explain technical concepts clearly
Experience creating SEO-focused content without sacrificing quality
Ability to research competitors and write original content

Expectations

Articles should be well-structured, practical, and developer-friendly
Include code examples where relevant (Python preferred)
Use screenshots/examples when useful
Add clear introductions, comparisons, and conclusions
Content must be original (not AI-generated copy-paste)
Optimize for search intent and readability

Deliverables

4 complete blog articles
Suggested meta title + meta description for each article
SEO-friendly headings (H1/H2/H3)
Internal linking suggestions (where relevant)

Preferred Experience
Previously written for developer tools, APIs, SaaS, or technical products
Familiarity with SEO tools and content research
Understanding of web scraping ecosystem

To Apply

Please send:

2–3 technical writing samples (preferably API, Python, scraping, or SaaS content)
Your rate per article
Estimated turnaround for all 4 articles
Briefly explain how you research and structure technical content

Potential for long-term work if the fit is good.

We are looking for an experienced Python educator/content developer to create a complete online learning course from start to finish.

The freelancer will be responsible for designing the course curriculum, preparing theoretical lesson content, creating engaging video lessons with voice-over, and developing practical learning materials such as quizzes, coding tasks, and exercises.

The course should be clear, structured, beginner-friendly or level-appropriate, and professionally presented. We need someone who can explain Python concepts in a simple and engaging way while also producing high-quality educational video content.

Responsibilities
- Design the full Python course structure and learning path
- Prepare lesson scripts, explanations, and examples
- Record or produce professional video lessons with voice-over
- Create quizzes, coding exercises, and practical assignments
- Ensure the content is accurate, engaging, and easy to follow
- Deliver a complete course package ready for online learners

Ideal Candidate
- Strong Python knowledge
- Experience creating educational or training content
- Ability to explain technical topics clearly
- Experience with video lesson production and voice-over
- Good understanding of learner engagement and course structure

Note
After successful completion of the first course, there may be an opportunity for continued collaboration.

We are seeking a skilled freelancer to assist with a web scraping project. The ideal candidate will have experience in extracting data from websites and handling large datasets. Responsibilities include developing scripts to scrape specific data points, ensuring data accuracy, and organizing the extracted data into a structured format. Familiarity with tools like BeautifulSoup and Scrapy is essential.

I run a small B2B lead-gen agency, and to save my team time I built an AI agent that handles inbound leads from our website form. The idea is simple: when a lead comes in, the agent looks them up (it has a few tools — an enrichment API to pull company size, a tool to check our CRM for duplicates, and one to draft a personalized first email), decides if they're a fit, and either drafts the outreach or marks them as not qualified. It's built with LangGraph and OpenAI function calling. It worked fine in testing but now that real leads are flowing in, it's misbehaving.

The main problem is the agent gets stuck in a loop — it calls the enrichment tool, gets the result, then calls it again with the exact same arguments, over and over, until it hits the recursion limit and crashes. Sometimes it also ignores the tool output completely and hallucinates a company size instead of using what the tool returned. So it's clearly something in how the agent loop and tool results are being handled, not the tools themselves (I tested those separately and they return correct data).

A few guesses, though I could be wrong:

- the tool result isn't being appended back to the state/messages correctly, so the agent never "sees" that it already called it
- my conditional edge in LangGraph is routing back to the agent node when it should go to end
- the function-calling response isn't being parsed right, so it re-triggers the same call

The stack is plain Python 3.11, LangGraph, and OpenAI. I just need someone to find why it loops and ignores tool output, fix it so the agent uses tool results and stops when it's done, and add a sane recursion guard. A couple sentences on what was actually broken would be great, since I want to understand it and not reintroduce it. I'll give you the repo, a couple of sample lead payloads, and an env example so you can reproduce it in minutes. Timeline should be a day or two.

When you apply, tell me in one line the most common reason a LangGraph agent loops forever on the same tool call — copy-paste proposals are easy to spot. And mention one agent or LangGraph bug you've actually fixed before.

Project Overview:

I am building a vehicular communication device that allows a user to send text from their phone, which is then displayed in real time on a screen mounted on the rear window of a vehicle. The goal is to enable simple, safe road communication between drivers.

If possible may I see some devices you've successfully created over the years for clients?

Senior Full-Stack Engineer — Canvas Medical EHR Lead

Contract · Monthly retainer · Remote (US-based) · Ongoing

-= DONT APPLY IF =-
Not physically present in USA
you're an AGENCY. I need 1 person. no middleman
Generalists and "I can pick up Rails" applicants will not be a fit.
If we can't see your projects on github dating back years (temp)
you're not serious.
Anyone who's thinking of making someone else do the work, go away. No time for games.

Summary
I'm hiring a senior full-stack engineer to lead the build-out and launch of a longevity-medicine platform: B2B formulary ordering for licensed providers, plus a patient prescription and reorder portal, built on Canvas Medical (a programmable, ONC-certified EHR). The design and product logic are set. I need someone who configures the EHR, builds the integrations, finishes the frontend, ships it, and keeps it running. This is not a learn-on-the-job seat. It is a finisher seat.

What you'll own


Configure and extend Canvas Medical to the prescription, formulary, and patient-portal workflow by writing Python plugins on the Canvas SDK
Integrate the platform over the Canvas FHIR (R4) API, including provider registration, ordering, billing, and the patient portal
Finish and ship the product frontend and bind it to the API
Handle deployment, uptime, and ongoing monthly support and iteration after launch


Stack


Python (Canvas SDK plugins run inside the EHR)
Canvas FHIR R4 API (FastAPI-based); Django ORM for data access
Frontend: finishing an existing web frontend and wiring it to the API
Healthcare data handling under HIPAA


Must have


Senior-level Python. Non-negotiable. The SDK is Python.
Hands-on FHIR / healthcare data integration. This is the differentiator and the first thing I screen for.
Experience with Canvas Medical or a comparable EHR or health-data platform (Medplum, Redox, Health Gorilla, or similar)
HIPAA and PHI handling experience. This is a live EHR with patient data, not a storefront.
Frontend competence to finish a web app and connect it to a REST/FHIR API
A track record of shipping. Links to live work, not a list of frameworks.
Strong async communication and reliable follow-through


Nice to have


Direct Canvas SDK plugin experience (Events, Data, Effects)
Prior digital-health, telehealth, or pharmacy-tech product work
Experience taking a stalled or unfinished product across the finish line


Engagement


Contract, paid on a monthly retainer
Remote, US-based for this lead role
Long-term: build phase first, then ongoing support. I'm looking for a durable relationship, not a one-off.


To apply

In your reply, include:


Links to things you've shipped, FHIR and EHR work prioritized
One example of a project you took from stuck to done, and what you did?
Whats your favorite car?
Your monthly availability in hours?


Thanks

We're looking for a certified Databricks professional to support data engineering and analytics work on our Databricks environment. Certification is a firm requirement — please only apply if you hold a current Databricks credential.
What you'll be doing:

Building and maintaining data pipelines using Databricks and Apache Spark
Working with Delta Lake for data storage, versioning and optimisation
Developing notebooks and jobs for data transformation and processing
Collaborating with data and engineering teams to deliver reliable, scalable pipelines
Optimising performance and troubleshooting issues across the stack

What we're looking for:

A current Databricks certification (Data Engineer Associate or Professional preferred — please state which you hold)
Strong hands-on experience with PySpark, Delta Lake and Databricks Workflows
Comfortable working with cloud storage (AWS S3, Azure ADLS or GCP GCS)
Python proficiency and clean, well-documented code
Reliable and communicative — able to work from technical briefs independently

• Describe your recent experience with similar projects
• What techniques would you use to clean a data set?
• Please list any certifications related to this project
• What tools do you use for data mining and visualization?

We're looking for an experienced ML engineer with strong AWS SageMaker skills to help build and maintain machine learning workflows orchestrated via Apache Airflow.
What you'll be doing:

Developing and managing SageMaker notebooks and training jobs
Building Airflow DAGs to trigger and orchestrate SageMaker workflows
Integrating SageMaker Pipelines or notebook execution into broader data pipelines
Handling model training, evaluation and deployment within the AWS ecosystem
Troubleshooting pipeline failures and optimising job performance

What we're looking for:

Proven experience with AWS SageMaker — notebooks, training jobs and endpoints
Hands-on Airflow experience, specifically invoking SageMaker jobs via operators or sensors (SageMakerNotebookOperator, SageMakerTrainingOperator etc.)
Comfortable working with S3, IAM and related AWS services
Python proficiency — clean, well-structured pipeline code
Able to work independently from technical briefs with minimal back-and-forth

• Describe your recent experience with similar projects

Looking for a highly skilled web developer to build a web application using CSS/JS for a 4.3" (800x480) touchscreen LCD. The developer should have experience with Python as well as the application will require interaction with Python on the Raspberry Pi.

The instrument utilizes a Raspberry Pi 5 in Kiosk mode.

The web application must be HIGHLY EFFICIENT and responsive to touch.

Experience with Raspberry Pi is a plus but not required.

• Do you have experience developing web applications for touchscreens or instruments?

We are seeking a Senior AI Engineer to design, build, and deploy production-grade AI solutions. You will work closely with distributed teams to develop scalable machine learning and generative AI applications.

Requirements
• Strong Python experience for AI/ML development
• Hands-on experience with machine learning, model training, and production deployment
• Experience with PyTorch, TensorFlow, Scikit-learn, and/or Hugging Face
• Experience with LLMs, prompt engineering, RAG systems, and AI API integrations
• Experience building REST APIs using FastAPI, Flask, or similar frameworks
• Experience with AWS, Azure, or GCP
• Familiarity with Git, CI/CD, and Agile development practices
• Strong communication and collaboration skills

Nice to Have
• Vector databases (Pinecone, FAISS, Weaviate, Milvus)
• MLOps, Docker, Kubernetes
• Airflow, Spark, Kafka
• React or frontend integration experience

What We Offer
• Long-term remote opportunity
• Competitive compensation
• High-impact AI projects
• Collaborative and growth-focused environment

I am looking to build a Database, that will require a lot of customization and data support due to the data language and complexity. It will be in JSONL records

We need a developer to build a custom internal web application for SFSP menu planning, USDA compliance verification, cost analysis, and procurement planning. The application should be user-friendly and efficient, ensuring compliance with SFSP and USDA regulations. The ideal candidate will have experience in web development and a strong understanding of SFSP and USDA compliance.

Megan Leitch sent me your way. We would be interested to scrape the number of lift stations + treatment plants for a list of ~20,000 utilities. the utilities are in a clean data set by CWNS number from the EPA and include latitude/longitude and facility names, as well as state and county.

There will be disparate data sources to understand the pump/lift station count -- and these are usually detailed records from the utility website. There is likely a more automated way to scrape all of this information.

We would love to understand how long you would expect such an effort to take. We could prioritize the ~5,000 utilities where we would expect pump stations would be concentrated, but it would still be 5,000 rows of work.

thank you for considering and happy to chat more.

Regards,
Scott

I need a Python developer to build an image analysis and automation workflow. The system should analyze image characteristics, organize image datasets, and automate tasks using Python. The ideal candidate will have experience in machine learning and data analysis to ensure accurate image processing.

• Please describe a similar computer vision or image analysis project you have completed. What technologies did you use?
• Describe your recent experience with similar projects

Summary
I run a real estate team and we're bleeding leads because my agents are stuck in showings and can't reply to inbound social media leads fast enough. I need an automation expert to build an AI workflow that handles these leads from the second they come in.
The Tech Stack:
You MUST know n8n (preferred) or Zapier, Airtable, and Zoho CRM.
What I need built:
Catch leads from our FB/IG ads and website forms.
Route them into Airtable as our staging database.
The AI/RAG part: I need an AI agent that doesn't just ask basic qualifying questions, but actually answers specific questions from buyers. It needs to be a RAG system connected to our property listings, neighborhood guides, and company docs. (So if a lead asks "what are the HOA fees for this house?" or "how is the school district?", the AI pulls the right info and replies accurately without making things up).
Once the AI qualifies them (budget, timeline, pre-approval) and answers their questions, push the data into Zoho CRM, create the lead, and alert the assigned agent.
If they aren't qualified yet, put them in a long-term nurture sequence in Airtable.
I don't want a clunky setup that hallucinates property details or breaks when an API updates. The RAG part needs to be highly accurate.
To apply:
Start your proposal with the word "ZILLOW" so I know you actually read this.
Briefly explain what vector database or tool you'd use for the RAG system (e.g., Pinecone, Qdrant, or whatever works best with n8n).
Share 3 or 5 quick examples (or Loom links) of similar AI/CRM automations you've built.
Looking to get this started ASAP. If the initial build goes well, I have a lot more workflows I'll need help with.

Hello!

I am looking to have someone walk me through setting up an agent on Microsoft Copilot. The agent would hopefully be able to work off of my executive's calendar, travel information, and emails to properly curate a travel tracker and dashboard for her to view upcoming travel.

We are looking for a DevOps Engineer to build and maintain a network of Android phones used for authorized popular Social media app testing and workflow automation.

Responsibilities

Manage physical Android devices and device controllers.
Configure Appium, ADB, Docker, and CI/CD pipelines.
Build task scheduling, monitoring, logging, and automatic recovery systems.
Secure credentials, servers, APIs, and device access.
Monitor device health, connectivity, app crashes, and task failures.
Document the infrastructure and deployment process.

Attention Check
To confirm you have read this description, include the answer to this question in your application:
A network has 40 phones. If 25% are offline, how many phones remain available?
Do not place the answer in your email subject line.

Required Skills

Linux, Docker, Python or Bash.
Android SDK, ADB, and Appium.
Terraform, Ansible, or similar tools.
GitHub Actions, GitLab CI, or Jenkins.
Prometheus, Grafana, Datadog, or ELK.
Experience with device farms, distributed systems, and job queues.

All systems must be built for authorized testing and compliant account-management activities.

The Software Engineer will support development of a portable medical assessment platform intended for military and dual-use healthcare environments. The role focuses on application software, data processing, sensor integration, and user workflow development in a regulated product setting that combines hardware, software, and clinical decision support.

This is a hands-on engineering role suited for someone comfortable working across front-end, back-end, and device-connected software components. The engineer will collaborate with hardware, clinical, quality, regulatory, and cybersecurity contributors to help build a reliable and user-friendly system.

Responsibilities
Design, build, test, and maintain application and service-layer software for a portable assessment system.

Integrate wearable sensor data into software workflows, including acquisition, processing, storage, and reporting.

Develop user-facing workflows for guided assessments, error handling, and results presentation.

Support offline-capable operation, synchronization, and secure data handling.

Write unit, integration, and system-level tests and support structured verification activities.

Contribute to design documentation, traceability, and risk-aware development practices expected in regulated environments.

Work with multidisciplinary team members to improve usability, reliability, and field readiness.

Qualifications
BS in Computer Science, Software Engineering, Electrical/Computer Engineering, or related field.

2+ years of software development experience, internship-heavy candidates may also be considered.

Experience with one or more modern programming languages such as Python, JavaScript/TypeScript, C++, or similar.

Familiarity with testing, debugging, version control, and collaborative development workflows.

Strong written and verbal communication skills.

Preferred experience
Experience with connected devices, sensor data, or time-series data.

Exposure to regulated, safety-critical, or medical technology development.

Familiarity with secure software development and data protection practices.

Experience building mobile, tablet, or cross-platform applications.

Employment note
This is a 16-month, fixed-term role budgeted at $65,000 and is contingent on the company receiving grant funding for the project.

Warehouse Solution Design & Industrial Engineering Consultant

Overview

We are seeking an experienced Industrial Engineering consultant with deep expertise in warehouse operations, distribution center design, labor planning, and supply chain engineering.

The ideal candidate has hands-on experience designing, evaluating, and optimizing warehouse and logistics operations and can apply that expertise to operational analysis, solution design, and modeling initiatives.

This is a project-based engagement for a senior practitioner who combines strong operational knowledge with structured problem-solving and analytical thinking.

Scope of Work

The consultant will support projects involving:

* Warehouse and distribution center design
* Operational assessments and process analysis
* Labor planning and staffing models
* Capacity and throughput analysis
* Facility sizing and space utilization
* Material flow and process optimization
* Equipment and infrastructure evaluation
* Scenario analysis and trade-off modeling
* Operational improvement recommendations
* Development of engineering assumptions, frameworks, and documentation

Required Experience

* 10+ years of Industrial Engineering, Solution Design, Supply Chain Engineering, or Distribution Operations experience
* Experience designing or optimizing warehouse and distribution center operations
* Strong understanding of inbound, outbound, storage, fulfillment, labor management, and warehouse productivity
* Experience developing labor models, capacity models, staffing plans, or operational analyses
* Ability to evaluate trade-offs across cost, labor, service levels, throughput, and space utilization
* Strong analytical, problem-solving, and communication skills

Preferred Experience

* 3PL, retail, e-commerce, wholesale distribution, or manufacturing environments
* Warehouse automation and material handling systems
* Simulation tools such as AnyLogic, FlexSim, Simio, or Arena
* SQL, Python, Power BI, Tableau, or other analytical tools
* Network design or operations research experience

Deliverables

Depending on the project, deliverables may include:

* Operational assessments
* Warehouse design reviews
* Labor planning models
* Capacity analyses
* Process maps and workflows
* Throughput analyses
* Facility sizing recommendations
* Executive-level findings and recommendations

How We Work

* Flexible remote engagement
* Weekly working sessions with project stakeholders
* Clear milestones and deliverables
* Collaborative and iterative approach
* Preference for practical, data-driven recommendations over theoretical analysis

To Apply

Please include:

1. A summary of your relevant warehouse, logistics, or industrial engineering experience.
2. Examples of distribution centers, warehouses, or logistics operations you have designed, optimized, or evaluated.
3. Your experience with labor modeling, capacity planning, simulation, or operational analysis.
4. Relevant software, modeling, and analytical tools you have used.
5. Your hourly rate and weekly availability.

Key Skills

Industrial Engineering
• Warehouse Design
• Solution Design
• Process Engineering
• Supply Chain Management
• Capacity Planning
• Labor Modeling
• Distribution Center Design
• Process Improvement
• Operations Research

We are seeking a skilled freelancer to install MS Visual Studio and integrate it with AWS Aurora Serverless S2 and Antropic Claude models. This project requires proficiency in software installation and cloud integration. The ideal candidate will have experience with AWS and Microsoft Azure. This is the first part of a two-job project.

Job Description:
DeviceAlchemy.ai is an early-stage AI startup based in California, United States. We are developing an intelligent platform that helps researchers and engineers with scientific reasoning and discover promising material stacks for next-generation electronics.

We are seeking a motivated Junior ML Engineer to join our team as a part-time Independent Contractor.

Key Responsibilities:
• Optimize and maintain the RAG pipeline and model inference performance.
• Enhance backend systems built with Python and Flask.
• Identify and fix bugs, and implement new features
• Support integration and fine-tuning of LLMs.
• Perform occasional frontend maintenance (HTML/CSS/JS)

Commitment: 10–15 hours per week
Budget: $200 – $250 per month
Type: Independent Contractor (1099)
Location: Fully Remote
Duration: Initial 4-week paid trial period, with strong potential for ongoing long-term collaboration.

Requirements:
• Undergraduate degree (or final-year student) with knowledge in Electronics, Materials Science, Applied Physics, or related fields.
• Strong proficiency in Python.
• High interest in research and development.
• Ability to think critically and solve problems independently.
• Good written and verbal English communication skills.
• Self-motivated, reliable, and able to work independently.

This is an excellent opportunity for junior talent and fresh graduates to gain valuable real-world experience working on an innovative AI platform in the scientific domain.

How to Apply:
Please submit your application with:
• Resume
• Brief summary of relevant experience
• GitHub profile or portfolio (if available)

I need a full-stack developer who is comfortable blending AI, automation, and SaaS architecture to turn my product vision into a production-ready platform. The ideal candidate will have experience in both front-end and back-end development, with a strong understanding of integrating AI and automation into SaaS solutions. The project involves developing a scalable and efficient platform that meets modern web standards.

Core Requirements
- Google Business Profile API integration (OAuth, review ingestion, multi-location support)
- AI-powered review analysis using LLMs (GPT/Claude) to detect policy violations, spam, fake reviews, etc.
- Automated workflow to flag and escalate low-quality or policy-violating reviews
- Multi-tenant SaaS architecture with white-label support
- Admin dashboard (React) for managing clients, reviews, and dispute status
- Notification system (email/SMS/webhooks)
- Audit logs and analytics

Tech Stack
- Backend: Node.js or Python (FastAPI preferred)
- Frontend: React + Typescript
- DB: Supabase
- AI: OpenAI / Anthropic API
- Infrastructure: AWS / GCP, containerized deployment

Nice to Have
- CRM integrations
- Playwright automation (if needed for fallback flows)
- SaaS billing (Stripe)
- Experience with Google APIs or marketplace apps

About the Role:
We're building a new application and growing our engineering team. We're looking for a full-stack developer who's comfortable working across the entire stack React on the front end, Node.js on the back end and PostgreSQL for data and who brings hands-on experience with AI integration and modern AI-assisted development workflows. This is a hands-on role on a small, growing team and you'll have a real impact on the product as we build it out.

What You'll Do:
Build and maintain features across the front end (React) and back end (Node.js)
Design, query and optimize PostgreSQL databases
Integrate AI capabilities such as LLM APIs, RAG pipelines or agentic workflows into product features
Collaborate closely with a small team to ship and iterate on a new application
Write clean, maintainable, well-tested code

Requirements:
Demonstrated experience with React
Demonstrated experience with Node.js
Demonstrated experience with PostgreSQL
Hands-on experience integrating AI/LLM APIs (e.g. OpenAI, Anthropic Claude or similar) into production applications
A solid understanding of full-stack web development
Links to applications you have developed we want to see your work so please include them as part of your application

Nice to Have:
Experience with RAG (Retrieval-Augmented Generation), vector databases, or agentic AI systems
Familiarity with AI-assisted coding tools like Claude Code or Codex
Experience contributing to or helping grow a team

How to Apply: Submit your application along with links to applications you've developed, including any AI-powered projects if applicable. Applications without work samples may receive lower priority, so be sure to include them.

Billie is a consumer-facing legal wellness platform that provides users with free access to their own background check records. Think Credit Karma for background records. Through AI-assisted analysis, Billie generates a proprietary Legal Wellness Score to help people understand and monitor their records. Then Billie provides guided tools and a marketplace of legal connections so people can repair any errors or issues in their background. Billie monetizes through referral fees from marketplace service providers and subscriptions.

Our initial MVP will provide:

Consumer-facing dashboard reflecting background records analysis
Public-record monitoring
Source-attributed record reporting
Alerts and notifications
Educational guidance and remediation tools
Marketplace of legal, identity theft, and reputation management services
Secure user accounts and data management

This is an opportunity to help build a mission-driven, but monetized product focused on transparency, consumer rights, and access to justice.

We are seeking a senior engineer who can operate as a Founding Engineer and thought partner during Billie's earliest stage. Ideally, we will launch the MVP by September 5, 2026, but we are flexible as necessary.

This is not simply a "build what I tell you" engagement. We're looking for someone who can help make key architectural decisions, challenge assumptions, prioritize features, and help determine the fastest path to a scalable MVP.

The initial engagement is contract-based, but we are open to a long-term relationship—including a potential future technical leadership role—for the right person.

The ideal candidate has experience building SaaS products, consumer applications, data-intensive platforms, and AI-assisted workflows.

You will help architect and develop:

Frontend
Modern web application
Responsive user dashboard
Authentication and account management
Record monitoring interface
Reporting and visualization features
Backend
API development
Database architecture
User management
Data ingestion and normalization pipelines
Monitoring and notification systems
Secure storage and handling of user information
AI & Automation (Preferred)

Experience building:

AI-assisted search or analysis workflows
Data matching and record-linkage systems
LLM-powered user experiences
Agentic workflows and automation tools

Ideal Experience

Bonus if you've worked on:

Fintech
LegalTech
Consumer data platforms
Identity verification
Background screening
Credit monitoring
Public-record data products
Compliance-sensitive applications
Project Scope
MVP build
3-6 month initial engagement
Potential for long-term work following successful launch


Please include:

Examples of SaaS or consumer applications you've built
Examples of products involving complex data aggregation or monitoring
Your preferred tech stack
Whether you would work independently or as part of a team
Estimated timeline to deliver an MVP.

• Please provide links to similar SaaS products you've built and describe your role in those projects. Describe your experience with AI/LLM workflows. What is your preferred tech stack for this MVP? What is your estimated MVP timeline and cost?
• Please list any certifications related to this project
• Include a link to your GitHub profile and/or website
• What frameworks have you worked with?
• Describe your recent experience with similar projects

We are looking for a Senior AI/ML Engineer who can join our project quickly and start contributing immediately.

The ideal candidate should have strong experience in building AI/ML solutions, excellent communication skills, and the ability to participate in 1 or 2 quick interviews before starting.

Responsibilities:
- Build, improve, and deploy AI/ML models or AI-powered features
- Understand project requirements and suggest the best technical approach
- Work with APIs, data pipelines, backend systems, or cloud infrastructure as needed
- Communicate clearly about progress, blockers, and technical decisions
- Collaborate with our team and begin work immediately after selection

Requirements:
- Senior-level experience in AI/ML engineering
- Strong Python and machine learning experience
- Experience with LLMs, NLP, computer vision, recommendation systems, or predictive modeling is a plus
- Ability to explain technical concepts clearly
- Strong problem-solving skills and ownership mindset
- Available for 1 or 2 quick interviews
- Able to start immediately

Nice to Have:
- Experience with OpenAI, LangChain, Hugging Face, TensorFlow, PyTorch, or similar tools
- Experience deploying AI/ML systems to production
- Backend/API development experience
- Cloud experience with AWS, GCP, or Azure

Please apply with:
- A brief summary of your AI/ML experience
- Your availability for a quick interview
- Confirmation that you can start immediately

We are ready to hire quickly for the right candidate.

We need a forensic data engineer (Python/Pandas/SQL) for a rapid, 48-hour offline audit of enterprise procurement data. You will ingest unstructured files, perform data quality checks, and identify potential fraud. Deliver a report with findings and recommendations.

• In a 100k-row CSV, how do you find vendors paid multiple times within a 7-day rolling window where the sum exceeds R500k? Name the exact SQL or Pandas functions you'd use to mathematically solve this.

We are looking for an AI Automation expert to help streamline our business processes and improve operational efficiency. The ideal candidate should have experience with AI Automation, workflow automation, n8n, Make, and business process optimization. The goal is to automate repetitive tasks, reduce manual workload, save time, and create efficient systems that support business growth.

We are seeking an expert Senior AI Engineer to address critical issues in our multi-tenant Agentic AI SaaS platform. The role involves diagnosing and resolving complex problems, ensuring platform stability, and optimizing performance. The ideal candidate will have a strong background in AI and software engineering, with experience in troubleshooting and problem-solving. This is a part-time engagement with a short-term project duration, requiring immediate availability.

We're building an AI-powered chatbot platform that allows businesses to create custom support assistants trained on their own documents and website content. Users will be able to upload PDFs, text files, and website URLs, and the chatbot will answer questions using only the provided knowledge base.

This is the first phase of a larger product. We're looking for a developer who has real experience building RAG-based AI applications and is interested in a long-term collaboration as the platform evolves.

## Phase 1 Scope

### AI Knowledge Base & Chat

* Upload PDFs, text files, and website URLs
* Extract, chunk, and embed content
* Store embeddings in a vector database
* Context-aware retrieval and AI-generated responses
* Support conversation history and follow-up questions

### Bot Management

* Create and manage multiple chatbots
* Separate knowledge base for each chatbot
* Basic chatbot settings (name, welcome message, personality)

### Dashboard

* User authentication and account management
* Manage documents and chatbots
* View conversation history and basic usage statistics

### Embeddable Chat Widget

* Easy website integration
* Customizable colors and branding
* Responsive design for desktop and mobile

## Preferred Tech Stack

* Frontend: React or Next.js
* Backend: Node.js/Express or Python/FastAPI
* Database: PostgreSQL, MySQL, or MongoDB
* Vector Database: Pinecone, Qdrant, Weaviate, or ChromaDB
* AI Models: OpenAI, Anthropic, or Gemini
* Docker-ready deployment

## Requirements

* Proven experience building AI chatbots or RAG systems
* Experience with vector databases and embeddings
* Ability to deliver production-ready code
* Good communication and availability during development

## In Your Proposal, Please Include

* Examples of relevant AI/RAG projects you've built
* Your recommended tech stack and vector database
* A brief overview of your proposed architecture
* Estimated timeline for Phase 1
* Your availability for future development phases

Senior FortiGate SD-WAN & Security Engineer
Location: [Remote]
Employment Type: Contract (Long Term)
Experience Required: 10+ Years

About the Role

We are seeking an experienced and highly capable Senior FortiGate SD-WAN & Security Engineer to join our Network and Security Engineering team. This is a senior-level technical role focused on the design, deployment, optimisation, and support of complex Fortinet environments across enterprise and service provider networks.

The ideal candidate will possess deep hands-on expertise with FortiGate SD-WAN, advanced security services, and large-scale multi-VDOM and multi-ADOM deployments. You will play a key role in architecting secure, resilient, and scalable infrastructures while providing technical leadership and operational excellence.

Key Responsibilities
• Design, implement, and support enterprise-grade Fortinet security and SD-WAN solutions
• Manage large-scale FortiGate deployments operating across multiple VDOMs and FortiManager ADOMs
• Architect and maintain secure multi-tenant network environments
• Lead FortiManager and FortiAnalyzer administration, policy management, and automation initiatives
• Deploy and optimise FortiGate SD-WAN fabrics across DIA, broadband, LTE, and hybrid cloud connectivity
• Configure and troubleshoot:
o BGP, OSPF, static routing, ECMP
o IPsec VPNs and ADVPN
o High Availability (HA)
o SSL inspection and security profiles
o Application control, IPS, antivirus, web filtering, and Zero Trust access
• Perform advanced troubleshooting for complex routing, performance, and security issues
• Develop standards, operational procedures, and technical documentation for operational teams
• Provide technical mentorship to junior engineers and support teams
• Participate in architecture reviews, change management, and incident response activities
• Collaborate with customers, vendors, and internal stakeholders on solution delivery
• Assist with capacity planning, upgrades, and security hardening initiatives

Required Skills & Experience
Essential
• Minimum 10 years’ experience in network security engineering
• Extensive hands-on experience with:
o FortiGate Firewalls
o FortiManager
o FortiAnalyzer
o FortiOS
• Proven experience managing:
o Multi-VDOM environments
o Multi-ADOM architectures
• Strong expertise in:
o Fortinet SD-WAN
o Advanced routing and switching
o Enterprise firewall policy design
o Secure segmentation and multi-tenancy
• Deep understanding of:
o TCP/IP networking
o Layer 3 routing protocols
o VPN technologies
o Network security best practices
• Experience with cloud integrations including AWS and Azure
• Strong troubleshooting and analytical skills on both FMG and CLI
• Excellent communication and documentation abilities
Desirable
• Experience with:
o FortiSASE
o FortiAuthenticator
o FortiNAC
o FortiSIEM
• Automation experience using:
o REST APIs
o Python
o Ansible
o Terraform
• Exposure to MSP and/or large enterprise environments
• ITIL process familiarity


Preferred Certifications

• NSE 7 – Enterprise Firewall
• NSE 7 – SD-WAN
• NSE 8 (Highly desirable but not essential)
• Fortinet Certified Expert (FCX)
• CCNP / CCIE Security (advantageous)

What We Offer
• Opportunity to work on large-scale, complex Fortinet deployments
• Exposure to cutting-edge SD-WAN and cybersecurity technologies
• Collaborative and highly technical engineering environment
• Professional development and certification support
• Competitive salary and benefits package
• Flexible working arrangements


Ideal Candidate Profile
You are a senior engineer who thrives in complex enterprise environments and can confidently lead both operational and project-based initiatives. You possess deep Fortinet expertise coupled with solid Cisco Datacentre experience, strong architectural thinking, and the ability to solve challenging networking and security problems at scale.


Apply Now

If you are passionate about advanced network security, SD-WAN, and Fortinet technologies, we would love to hear from you.
Please submit your CV along with details of your Fortinet certifications and relevant project experience.

I am looking for a researcher to help identify home maintenance and renovation businesses operating in the Montreal, Quebec area.

The goal is to build a database of businesses in categories such as handyman services, landscaping, painting, roofing, general contracting, and licensed electrical services.

Preferably use publicly available business sources such as company websites, business directories, trade associations, and other publicly accessible resources to identify relevant companies and compile business information.

Deliverables may include:

Business Name
Website
Business Email (if publicly listed)
Business Phone Number (if publicly listed)
Service Categories
Location
Social media pages (if publicly listed)