GenAI Full Stack Engineer - Consultant

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