Senior AI Engineer

Description :

Responsibilities :

- Design and implement GenAI solutions for medical report understanding and code mapping using LLMs and prompt engineering.

- Build and optimize RAG (Retrieval Augmented Generation) systems for accurate and reliable medical coding.

- Develop and deploy AI agents for multi-specialty medical coding automation.

- Evaluate, benchmark, and select appropriate foundation models (GPT, Claude, Llama, etc.) for healthcare use cases.

- Implement cost-effective, production-ready GenAI architectures with monitoring and observability.

- Transform existing rule-based systems into GenAI-powered solutions while maintaining accuracy and compliance.

- Collaborate with clinical teams to ensure outputs align with healthcare standards and regulations (HIPAA, ICD-10 CPT, SNOMED-CT).

- Conduct A/B testing, model evaluation, and continuous performance optimization.

- Stay updated with the latest GenAI/LLM research and bring relevant techniques into production.

Requirements :

- 5+ years overall in Data Science/ML Engineering.

- Strong proficiency in Python with GenAI libraries (LangChain, LlamaIndex, HuggingFace, OpenAI/Anthropic APIs).

- Deep understanding of RAG architectures, embeddings, and vector databases (Pinecone, Weaviate, Chroma).

- Production deployment experience: scaling, monitoring, cost optimization, and MLOps practices.

- Exposure to healthcare NLP (clinical reports, medical coding, terminologies).

Immediate joiners or candidates with up to 30 days notice period preferred.