What Were Looking For

- 5-9 years of experience in software engineering (backend or fullstack)
- 2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
- Strong experience building production-grade distributed systems
- Proficiency in Python
- Strong experience with SQL & NoSQL databases
- Hands-on experience with LangChain, LangGraph, or similar frameworks
- Experience deploying systems on AWS / Azure / GCP
- Strong understanding of APIs, microservices, and system design

Key Responsibilities

- Design and build scalable GenAI applications using LLMs and RAG pipelines
- Develop and optimize backend services and APIs for AI-powered systems
- Build and deploy agent-based workflows and orchestration systems
- Integrate LLMs into real-world enterprise applications
- Ensure performance,



scalability, and reliability of AI systems in production
- Collaborate with product, data, and engineering teams to deliver end-to-end solutions
- Implement monitoring, evaluation, and guardrails for GenAI systems

Valuable to Have

- Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
- Exposure to frontend frameworks (React, Next.js) for fullstack roles
- Familiarity with CI/CD pipelines and DevOps practices
- Understanding of model evaluation, fine-tuning, or LLMOps
- Experience building multi-tenant or enterprise SaaS platforms

📌 Principal GenAI Engineer Backend Full stack (Mumbai)
🏢 Nam Info
📍 Mumbai