Summary
GenAI Engineer in Noida building RAG-based AI systems and AI-enabled enterprise apps: integrating OpenAI/Azure OpenAI APIs, securing endpoints with OAuth2, and wiring AI services into Spring Boot/ActiveMQ backends while optimizing token usage. Stack includes Python, FastAPI, LangChain, LlamaIndex, vector DBs, Docker/Kubernetes on AWS/Azure.
We are seeking a GenAI Engineer to design and implement AI-enabled enterprise applications integrated with
secure APIs and workflow engines.
Key Responsibilities
• Develop RAG-based AI systems
• Integrate OpenAI/Azure OpenAI APIs
• Secure AI endpoints using OAuth2
• Integrate AI services with Spring Boot and ActiveMQ
• Optimize performance and token usage
Requirements
• 3–6 years of experience in AI/ML or backend development
• Strong Python programming skills
• Experience with LLM APIs (OpenAI/Azure)
• Experience building chatbot or RAG systems
• Understanding of API security
Technical Stack & Environment
• Backend: REST APIs, Microservices
• Security: Spring Security, OAuth2, JWT, RBAC
• Databases: PostgreSQL, MySQL, MongoDB
• DevOps: Docker, Kubernetes, CI/CD
• Cloud: AWS / Azure
• AI Stack: Python, FastAPI, LangChain, LlamaIndex, HuggingFace
• Vector Databases: FAISS / Pinecone / Weaviate