Lead GenAI Full Stack Engineer

- Experience in building microservices using Python with FastAPI or TypeScript with Express or equivalent - Experience in building React applications using TypeScript, with frameworks such as Next.js or Vite - Familiarity with GenAI tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript) - Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama - Proficiency in AWS or Azure for hosting and deployment - Hands-on experience with Docker, Kubernetes, and Docker Compose - Exposure to Infrastructure as Code (IaC) tools like Terraform - Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar - Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins - Experience with vector databases including, but not limited to, ChromaDB, Pinecone, PGVector, MongoDB, Qdrant - Familiarity with NoSQL databases (e.g., MongoDB preferred) - Experience with SQL databases like PostgreSQL - Proficient in Git and version control platforms like GitHub or GitLab - Requirement to obtain Security Check (SC) clearance