 
						Gen AI Developer
3 weeks ago
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
- Total Experience: 5–10 years in software development.
- Enterprise Development: 3+ years on large-scale, complex systems.
- Python Development: 2+ years of hands-on backend development.
- GenAI/LLM Integration: 1–2 years of practical experience integrating LLMs or GenAI tools.
- Strong skills in debugging, performance profiling, and problem-solving.
- Familiarity with enterprise-grade security, event-driven systems, and monitoring tools.
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
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