Generative AI Engineer

Ascendion; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology solutions company in Pune District is actively seeking highly skilled GenAI Engineers. The ideal candidates will bring hands-on experience in developing and deploying Generative AI solutions from MVP to production. Key responsibilities include building AI agents, integrating these agents with external tools, and supporting RAG pipelines. The role requires collaboration in an agile environment and proficiency with Python, Langchain, and Databricks to contribute to innovative AI technologies.

Qualifications

• Hands-on experience in developing and deploying Generative AI solutions.
• Proficiency in building and orchestrating AI agents.
• Experience with Databricks for ML/AI workflows.

Responsibilities

• Develop and deploy Generative AI solutions from MVP to production.
• Collaborate with teams to integrate agents with external tools.
• Support and optimize RAG pipelines.

Skills

Python

Langchain

LangGraph

Autogen

Ai agents build (multi-Agent orchestration)

RAG (Retrieval-Augmented Generation) pipelines

Databricks

Job description

Overview

We are actively seeking highly skilled GenAI Engineers. The ideal candidates will bring hands-on experience in developing and deploying Generative AI (GenAI) solutions from MVP to production.

Key Skills

• Python, Langchain, LangGraph, Autogen
• Ai agents build (multi-Agent orchestration)
• Build and orchestrate AI agents, including multi-agent systems using frameworks like LangChain, LangGraph, and AutoGen.
• Collaborate with cross-functional teams to integrate agents with external tools (e.g., GitHub, web UIs).
• Work in an agile environment to rapidly prototype and transition MVPs to production.
• RAG (Retrieval-Augmented Generation) pipelines - support and optimization.
• Contribute to prompt engineering strategies and scalable GenAI infrastructure.
• Leverage Databricks for model development, data preparation, and orchestration. Proficiency in Databricks for ML/AI workflows.