Senior Software Engineer — AI & Agentic Systems

About the Role

(Remote | Full-time | ₹12L – ₹40L/year )

We're building AI systems that don't just respond — they reason, plan, and act. As a Senior Software Engineer with an AI focus, you'll architect and ship agentic applications powered by modern LLMs, design multi-agent orchestration networks, and build MCP (Model Context Protocol) integrations that connect AI to real-world tools and data. If you love building intelligent, production-grade systems that push the boundaries of what software can do, this role is for you.

What You'll Do

• Design and build agentic AI systems — multi-step reasoning pipelines, autonomous task agents, and tool-using LLM workflows using frameworks like LangGraph, AutoGen, or CrewAI
• Build and maintain MCP (Model Context Protocol) servers and clients to connect LLMs with internal tools, APIs, databases, and external services
• Implement RAG pipelines and vector search infrastructure (pgvector, Pinecone, Weaviate) to ground AI responses in real data
• Develop and deploy scalable web and backend applications using React.js, Node.js, and Python — including serverless workloads on AWS Lambda
• Evaluate and integrate foundation models via Anthropic Claude, OpenAI, and Gemini APIs, as well as open-source models like Llama and Mistral
• Debug and resolve complex AI production issues — from prompt failures and agent loops to latency and cost optimization
• Own code quality and mentor junior engineers through design reviews and pair programming

What You Bring

• 3+ years of hands-on experience with React.js, Node.js, and/or Python
• Experience building with LLM APIs and prompt engineering (tool calling, structured outputs)
• Solid experience deploying serverless workloads on AWS Lambda
• AWS Certification (Solutions Architect, Developer, or equivalent)
• Understanding of agentic AI concepts — planning loops, memory, tool use, and multi-agent coordination
• Bachelor's degree or equivalent in Computer Science or related field

Bonus Points

• Direct experience building or consuming MCP servers
• Hands-on with LangChain, LangGraph, AutoGen, or CrewAI
• Familiarity with RAG architectures and vector databases
• Knowledge of AI observability tools (LangSmith, Arize, Helicone)
• Experience with open-source model hosting (Ollama, vLLM, HuggingFace)

Skills: MCP · Agentic AI · LangGraph · RAG · LLM APIs · Prompt Engineering · React.js · Node.js · Python · AWS Lambda · Vector Databases · Serverless