We’re looking for a hands-on engineer who builds production AI systems end to end. You’ll design multi-agent backends, RAG pipelines and MCP servers, and ship the full-stack platforms around them for enterprise clients in financial services.
What you’ll do
- Build things (with or without AI as you want)!!!
- Be able to read codes and understand codes and it's use, really well.
- Build multi-agent LLM systems using Azure OpenAI, Gemini/ADK or similar frameworks
- Design RAG pipelines: document ingestion, OCR, embeddings and vector search
- Build and deploy MCP servers for tools like Claude, VS Code Copilot and enterprise clients
- Develop full-stack apps with Angular, Node.js/TypeScript and Python (FastAPI)
- Integrate enterprise systems (CRM, Microsoft Graph, Databricks) with secure Entra ID auth
- Own CI/CD, containerization and Azure deployments
What you bring
- 6+ years in full-stack development,
with at least 1–2 years building production LLM applications
- Robust Node.js/TypeScript and Python; C#/.NET is a plus
- Hands-on Azure experience (OpenAI, Functions, Container Apps, Cosmos DB, DevOps)
- Experience with vector databases (MongoDB Atlas, Cosmos DB or similar)
- Comfortable with async architectures: Redis streams, queues, SSE/WebSockets
- Proven ability to work independently in a remote, distributed team
Nice to have
- Financial services or private equity domain exposure
- Agentic AI frameworks (ADK, LangGraph, Semantic Kernel)
- Open-source contributions
Why Tytan
- Work on real agentic AI products for enterprise clients, with ownership from architecture to production.
Apply through LinkedIn with your resume and a link to something you’ve built.