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Velotio Technologies

Senior Engineer (Python + Langchain)

Job Posted 6 Days Ago Reposted 6 Days Ago
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In-Office or Remote
Hiring Remotely in Pune, Mahārāshtra
Senior level
In-Office or Remote
Hiring Remotely in Pune, Mahārāshtra
Senior level
The role involves designing and developing backend APIs and AI-native applications using Python and various tools in the LLM ecosystem, collaborating with cross-functional teams to build complex, multi-agent systems.
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Description

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified  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.

Requirements

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.
Benefits
Our Culture:
  • We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly.
  • Flat hierarchy with fast decision making and a startup-oriented “get things done” culture.
  • A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.

At Velotio, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

Top Skills

Chroma
Langchain
Langgraph
Next.Js
Openai
Pinecone
Python
React

Velotio Technologies Pune, Mahārāshtra, IND Office

3rd Floor, AG Trade Center, Ram Nagar ,Bavdhan , Pune, Maharashtra, India, 411021

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