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 up-to-date 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

📌 Senior Software Engineer — AI & Agentic Systems (India)
🏢 Readyly
📍 India