Senior AI Engineer

Overview

Design, build, and deploy production-grade AI solutions powered by large language models, including agentic systems and enterprise integrations.

What you'll do

• Develop AI architecture patterns such as RAG, text-to-SQL, and multi-agent systems.
• Build and integrate production-grade AI agents into applications.
• Optimize LLM performance using prompt and context engineering.
• Build AI workflows and pipelines with LangChain, LangGraph, or equivalent tools.
• Deploy and manage LLM solutions on Azure OpenAI, AWS Bedrock, or similar platforms.
• Implement monitoring, evaluation, benchmarking, and documentation for AI systems.
• Build secure MCP integrations, tool orchestration, and enterprise AI pipelines.

What you'll need

• Strong Python proficiency for AI/ML development.
• Understanding of LLM capabilities, limitations, and fundamentals.
• Hands-on experience with an AI framework such as LangChain, LangGraph, or CrewAI.
• Familiarity with vector stores including Pinecone, Weaviate, ChromaDB, or FAISS.
• Understanding of Git workflows, GitHub, and software development practices.
• Experience with Agile/Scrum sprint-based development.
• Experience building secure enterprise AI solutions with governance and compliance considerations.

Nice to have

• Experience with enterprise AI platforms, multi-agent systems, or internal tool ecosystems.
• Familiarity with LLM auditability, observability, and evaluation frameworks.

Details

• Location: Bengaluru.