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 contemporary 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 Lang Graph, Auto Gen, 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 Lang Chain, Lang Graph, Auto Gen, or CrewAI
Familiarity with RAG architectures and vector databases
Knowledge of AI observability tools (Lang Smith, Arize, Helicone)
Experience with open-source model hosting (Ollama, vLLM, Hugging Face)

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

📌 Senior Software Engineer — Ai & Agentic Systems Chennai
🏢 Readyly
📍 Chennai