Senior Engineer (Python + Langchain)

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.
• Experience required with Langgraph's Supervisor Agent, ReAct Agent and Command and Interrupt
• 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.