Description

You will architect and build production-grade AI systems, owning the design, development, and deployment of agentic workflows and full-stack applications.

This role is on-site.

Responsibilities

• Architect and develop agentic AI workflows using LangChain and LangGraph.
• Design and implement RAG pipelines, handling embeddings, document ingestion, and vector search.
• Deploy AI solutions using Google Vertex AI, Docker, and Kubernetes.
• Build full-stack AI applications using Python (FastAPI) / Node.js and React / Next.js.
• Implement evaluation, security, and governance frameworks for AI systems.

Required Skills

• 8–12+ years of software engineering experience.
• 4+ years building ML / Generative AI systems in production.
• Strong experience with LangChain, LangGraph, and RAG architectures.
• Hands-on experience with vector databases (Pinecone, Weaviate, Milvus, or FAISS) and LLM integrations.
• Experience with Google Vertex AI or other cloud platforms.
• Strong skills in Python, Docker, Kubernetes, and CI/CD.
• Experience with FastAPI, React, or Node.js.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree