Gen AI Developer

12 hours ago

tamil nadu, India RapidBrains Full time

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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