Description

What's the Job?

• Design, build, and productionize Generative AI applications end-to-end, including robust workflows with LangChain and LangGraph.
• Develop and optimize retrieval-augmented generation (RAG) pipelines, including document ingestion, embeddings, and vector database indexing.
• Implement scalable microservices on Google Vertex AI, ensuring system reliability, security, and cost-efficiency.
• Create user-facing applications and backend services, integrating authentication, authorization, and rate limiting.
• Establish best practices for prompt engineering, orchestration, testing, and model lifecycle management, mentoring team members along the way.

What's Needed?

• 7–10+ years of software engineering experience with a focus on AI/ML systems.
• 3–5+ years of hands-on experience building production systems with Generative AI, LangChain, and LangGraph.
• Expertise with Google Vertex AI, including models, endpoints, pipelines, and vector search.
• Deep understanding of RAG strategies, vector databases (e.g., Pinecone, Weaviate, FAISS), and embedding models (OpenAI, Vertex, Cohere).
• Proficiency in backend development with Python (FastAPI) or Node.js, and frontend development with React/Next.js

Key Skills

Education

Any Graduate