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Senior Engineer (Python + Langchain) at Velotio Technologies. Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified . Great Place to Work®.  and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.. We are looking for an experienced backend engineer with a strong foundation in Python to design and develop APIs and intelligent agent-based systems powered by large language models (LLMs). You’ll work at the intersection of AI, software engineering, and product development—building cutting-edge AI-native applications using LangChain, LangGraph, and other emerging tools in the LLM ecosystem.. Responsibilities. :. . Design and develop scalable backend APIs and LLM-powered agents using . Python. . . . Build . AI-native workflows. using tools like . LangChain. , . LangGraph. , and integrate with vector stores, external tools, and foundation models. . . Architect and implement . multi-agent systems. with capabilities like memory, dynamic tool usage, and task delegation. . . Collaborate cross-functionally with product managers, AI researchers, and frontend engineers to deliver seamless, end-to-end AI-driven user experiences. . . Ensure high performance, reliability, and observability of agentic systems in production environments. . . Stay updated with the latest advancements in the LLM ecosystem (e.g., OpenAI, Claude, Pinecone, Chroma) and actively contribute to . Velotio’s internal AI knowledge base. . . . Must have skills :. . . 4+ Strong experience in . Python. and backend development. . . Hands-on experience with . LangChain. , . LangGraph. , and building agent-based workflows. . . Ability to design and implement complex systems with multiple agents and memory contexts. . . Experience with integrating APIs, vector databases (e.g., Pinecone, Chroma), and third-party tools into LLM applications. . . Understanding of the LLM landscape including OpenAI’s GPT, Claude by Anthropic, and Hugging Face models. . . Experience working in a collaborative, agile environment with cross-functional teams. . . Good to have :. . . Familiarity with . OpenAI Assistants API. , function calling, or Claude workflows. . . Contributions to open-source AI/GenAI projects or personal side projects in the generative AI space. . . Experience with frontend technologies (e.g., . React. , . Next.js. ) is a plus. . . Exposure to observability, monitoring, or data privacy concerns in AI-based applications.. . Company Location: India.