Python Developer

🧠 Senior Python Backend Engineer – AI-Powered Products Contract Position | Remote (US)| 🏢 About the Opportunity Our client is a fast-moving technology team building AI-powered features directly into production systems — not research environments, not proof-of-concepts. They are looking for an engineer who can take AI ideas from concept to deployed, reliable software that real users depend on. 🎯 What You Will Be Doing • Design and build Python-based backend services and REST APIs that power production applications • Integrate LLMs and AI APIs (OpenAI, Anthropic, etc.) into real workflows and existing systems • Own the reliability of what you ship — error handling, edge cases, performance • Write clean, testable code with proper version control, peer reviews, and agile practices • Work with SQL databases and optimize queries for production workloads • Collaborate closely with both engineering teams and non-technical stakeholders • Occasionally interface with .NET/C# systems as part of a broader tech stack ✅ What We Are Looking For Must-Have: • 5+ years of professional software engineering experience • Strong hands-on Python development — APIs, microservices, production systems • Proven experience integrating LLMs or AI APIs into deployed applications • Solid C# / .NET or .NET Core • Solid SQL skills and experience with relational databases • Experience with API microservices architecture and object-oriented design • Strong testing mindset — unit tests, code reviews, data-driven validation • Clear communicator who can work independently and within a small agile team Nice-to-Have: • Cloud experience, ideally Azure • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) • Background in data or ML engineering 🚫 What This Role Is Not This is not a Data Science or research position. We are not looking for someone focused on model experimentation, analytics dashboards, or Jupyter notebooks. We need an engineer who ships production-grade code and builds AI-powered features that are stable, scalable, and used by real people. 💡 Why This Role Stands Out This profile is genuinely rare — a backend engineer who understands LLMs well enough to integrate them properly, knows their limitations, and can build reliable systems around them. You will work at the intersection of solid engineering and practical AI, not just experiment with it. 📋 Logistics • 📍 Location: Remote • 🏙️ Onboarding: Short onsite visit in San Francisco (~2–3 days) • 📄 Structure: C2H (1099) • 💰 Compensation: Competitive with the Canadian market, based on experience