We’re looking for a Generative AI Developer to join the Product Engineering team This is a critical, hands-on role where you will take end-to-end ownership of designing, building, and deploying core AI-powered features for our global platform.

You will be responsible for creating sophisticated Generative AI applications from the ground up, with an initial focus on building robust, scalable RAG (Retrieval-Augmented Generation) and Agentic AI systems. You'll work with a up-to-date tech stack including Python, LangChain, LangGraph, and AWS to deliver production-grade AI solutions that provide real value to our users.

This is a technical role for an engineer who is passionate about applying strong software engineering principles to the rapidly evolving field of Generative AI.

Responsibilities

● Design, build, and deploy end-to-end Generative AI applications, with a focus on RAG-based and Agentic-AI systems.

● Develop robust, scalable, and production-ready backend services and REST APIs in Python.

● Own the full lifecycle of AI features, from architectural design and model integration to deployment and monitoring on AWS.

● Utilize LangChain to create sophisticated agentic workflows, custom tool integrations, and complex data retrieval chains.

● Fine-tune and engineer prompts to ensure high-quality, reliable outputs from Large Language Models (Claude, Gemini, GPT)





● Collaborate with Product and Frontend teams to translate business requirements into high-performing technical solutions.

● 1-4 years of professional software engineering experience, with a strong background in Python. Candidates with fewer years of experience but strong Python fundamentals and relevant project experience are also encouraged to apply.

● Some experience of focused, hands-on experience building and shipping production-grade Generative AI applications.

● Experience with LangGraph for building agentic systems and retrieval pipelines is desirable.

● Experience with AWS services such as ECS, Lambda, S3, and Bedrock for deploying and managing applications is preferred. Candidates with working knowledge of AWS and relevant hands-on exposure are encouraged to apply.

● Experience with Vector Databases (e.g., ChromaDB, Pinecone, Weaviate) and an understanding of semantic search and retrieval techniques is desirable. Candidates with strong conceptual knowledge and project-based experience are also welcome.

● Ability to write clean, scalable, and well-tested production code, including designing and building REST APIs. Candidates who have demonstrated these skills through professional, academic, or open-source projects are encouraged to apply.

Pay: Up to ₹1,100,000.00 per year

Work Location: Hybrid remote in Mumbai, Maharashtra

📌 Generative AI Developer (Mumbai)
🏢 Vitrina AI
📍 Mumbai