Key Responsibilities
- Design and develop AI-driven applications using large language models (LLMs) and generative AI techniques
- Build scalable systems and pipelines for AI/ML model integration and deployment
- Implement Retrieval-Augmented Generation (RAG) frameworks and optimize LLM performance
- Develop full-stack applications with Python backend frameworks (FastAPI, Flask, Django) and frontend technologies (React/Angular)
- Analyze business requirements to deliver real-time data solutions and AI-driven insights
- Follow SDLC practices for system support, data governance, and AI framework contributions
Requirements
- 4-5+ years of experience in AI/ML engineering with expertise in Python and Azure
- Hands-on experience with LLM, RAG, and generative AI frameworks (LangChain, LlamaIndex, Semantic Kernel)
- Proficiency in full-stack development with backend frameworks (FastAPI, Flask, Django) and frontend technologies (React/Angular)
- Familiarity with cloud platforms (Azure), big data tools (Databricks, Spark), and real-time streaming technologies
- Strong problem-solving skills and ability to work in a collaborative engineering environment