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)
Lang Chain / Lang Graph 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