AI/ML Engineer

Role & Responsibilities

• Build and optimize agentic pipelines using LangChain, LangGraph, and MCP/tool-use frameworks for multi-step AI workflows
• Design and implement vector retrieval systems with Pinecone, Milvus, and FAISS for semantic search applications
• Develop robust model inference pipelines with evaluation frameworks for quality, latency, and cost optimization
• Create embedding workflows, prompt templates, and structured output validation systems for reliable AI responses
• Integrate AI components into scalable platform APIs using Python and FastAPI for production deployment
• Implement model routing and orchestration systems across multiple AI models and modalities
• Build evaluation harnesses for measuring AI system performance, safety, and reliability at scale

Must Have Criteria

• 5-10 years of experience in ML engineering or platform-oriented AI development
• Strong proficiency in Python programming and PyTorch framework
• Hands-on experience building RAG (Retrieval-Augmented Generation) systems and working with embeddings
• Practical experience with Large Language Models (LLMs) integration and optimization
• Experience working with vector databases including Pinecone, Milvus, or FAISS for semantic search
• Proven experience building AI systems serving 100M+ users or processing billions of records
• Experience building APIs and backend services for AI/ML applications

Nice to Have

• Experience with Kubernetes, AWS, or Azure for model deployment and orchestration
• Background in building multi-agent systems or agentic AI workflows
• Experience with model evaluation frameworks and AI safety implementations
• Previous work at AI-first companies or building consumer-scale AI products

What We Offer

• Opportunity to build AI systems serving 100M+ users with 1B-ready scale constraints
• Work with cutting-edge AI technologies in a fast-paced, high-ownership environment
• Direct impact on India's AI ecosystem through partnerships with global tech leaders
• Competitive compensation and equity in a high-growth AI company
  • Collaborative culture focused on engineering excellence and tangible impact