GenAI Engineer

We are seeking an AI / Generative AI Engineer to support enterprise AI initiatives within the AI team, focusing on building scalable, production-grade AI/ML and GenAI solutions. The role involves working across model development, LLM applications, and cloud-based deployments aligned with healthcare technology use cases Key Responsibilities Design, develop, and deploy AI/ML and Generative AI solutions for enterprise use cases Build and operationalize LLM-based applications (RAG, chatbots, document intelligence, etc.) Perform data processing, feature engineering, and model optimization for production use Integrate AI solutions with APIs and enterprise platforms Collaborate with cross-functional teams (client, SMEs, and engineering) for solution delivery Participate in technical evaluations, code reviews, and solution validation Support rapid prototyping and scaling of AI use cases within cloud environments Required Skills & Experience Strong experience in: Python, Machine Learning, and Deep Learning NLP and Generative AI use cases Hands-on expertise with: LLMs (OpenAI/Gemini or similar) RAG architectures, vector databases (e.g., FAISS) LangChain / LangGraph frameworks Experience building: Conversational AI, document Q&A, or intelligent automation solutions Cloud experience: GCP / Azure (preferred) Understanding of: API integration and scalable deployment frameworks (e.g., FastAPI) Preferred Skills Experience in Agentic AI frameworks and multi-agent systems Exposure to healthcare / payer domain use cases Familiarity with prompt engineering and LLM optimization techniques Python