AI Engineer & Full-Stack Developer | Python, .NET, RAG, APIs, SaaS

We’re looking for an experienced AI Engineer / Full-Stack Developer who can work across backend development, AI integrations, APIs, databases, and modern web applications. This is a hands-on role for someone who can take ownership of features from requirement to production, troubleshoot existing systems, and build reliable AI-powered workflows instead of only creating demos. Core Tech Stack • Python • C# / .NET Core • Node.js / JavaScript / TypeScript • React / Next.js • REST APIs and third-party integrations • PostgreSQL / SQL databases • OpenAI / GPT / LLM APIs • LangChain / RAG / embeddings / vector search • AI agents and automation workflows • Zapier / Make / n8n • Stripe and payment integrations • CRM and business-system integrations • Twilio / Vapi / voice AI • Docker / cloud deployment What You’ll Work On • Build and improve AI-powered SaaS applications • Develop RAG-based assistants and internal AI tools • Integrate OpenAI, Claude, or other LLM APIs into real products • Build backend APIs and business logic • Connect CRMs, payment systems, messaging tools, and external APIs • Work on existing .NET, Python, Node.js, and React applications • Build automation workflows using APIs, webhooks, and AI • Debug production issues and improve system reliability • Handle authentication, permissions, database logic, and integrations • Work with AI coding tools such as Claude Code, Cursor, Codex, or GitHub Copilot while reviewing and understanding all generated code You Should Have • Strong backend engineering experience • Good understanding of full-stack application development • Real experience with AI/LLM integrations • Experience building or improving production SaaS products • Strong API and webhook experience • Experience with structured outputs, error handling, retries, and production debugging • Ability to work independently and explain technical decisions clearly Nice to Have • Voice AI experience • Stripe integrations • CRM integrations • Vector databases / pgvector • Multi-tenant SaaS experience • AI agent workflows • Supabase • AWS / Azure / cloud deployment When Applying, Please Share 1. Two AI or SaaS products you personally worked on. 2. Your strongest technologies from the stack above. 3. One example of an API or system integration you built. 4. One AI/RAG/agent feature you shipped to production. 5. Your hourly rate and weekly availability. We’re looking for someone who can combine strong software engineering with practical AI implementation and help us build reliable production systems, not just prototypes.