Gen AI Developer

Job Title : Gen AI Developer

Experience : 6+ Years

Location : Chennai (Hybrid / On-site)

Contract Duration : Short Term

Overview

We are looking for an experienced Gen AI Developer with a strong background in Python backend development and Generative AI / LLM integration . The ideal candidate will have hands-on experience in building production-grade enterprise applications , integrating advanced AI models , and implementing scalable AI-driven solutions across business workflows.

Key Responsibilities

• Design, develop, and maintain backend systems using Python (Flask / FastAPI) .
• Build and optimize RESTful APIs with enterprise-grade features such as authentication, rate limiting, and error handling.
• Integrate LLMs (OpenAI, Anthropic Claude, etc.) into enterprise workflows with advanced prompt engineering .
• Develop and implement Retrieval-Augmented Generation (RAG) systems using vector embeddings , semantic search , and retrieval techniques .
• Model and query knowledge graphs for enterprise data relationships.
• Create AI orchestration pipelines and multi-step AI workflows using agent frameworks.
• Manage and optimize databases (SQL, NoSQL, vector databases) for performance and scalability.
• Implement data pipelines (ETL) for XML / JSON / document parsing and processing.
• Ensure secure and scalable deployment on cloud platforms (Azure, SAP BTP, serverless, or containerized environments).
• Collaborate with cross-functional teams, perform code reviews, and maintain Git-based workflows .
• Monitor, troubleshoot, and optimize applications for performance and reliability .

Requirements

Technical Skills

Backend Development :

Python (Flask, FastAPI, async programming), REST APIs, PyTorch, TensorFlow, SQL, NoSQL, vector databases, ETL pipelines, XML / JSON parsing.

AI / GenAI :

OpenAI API, Anthropic Claude API, LLM integration, prompt engineering, vector embeddings, semantic search, RAG systems, knowledge graphs, AI orchestration, multi-agent workflows.

Development Environment :

Git, code review workflows, debugging tools, VS Code, PyCharm, Cursor, performance profiling, collaborative coding.

Enterprise Technologies (Preferred) :

Azure, SAP BTP, Docker, Kubernetes, serverless architecture, message queues, API security, enterprise authentication, logging, monitoring, and APM tools