Description :

As an AI Engineer-II, you will play a critical role in designing, developing, and scaling GenAI-powered solutions for healthcare. You will work across the stack model design, RAG pipelines, deployment, monitoring, and cost optimization, ensuring our AI systems are reliable, scalable, and production-ready.

Requirements :

- 3+ years of hands-on experience with LLMs/GenAI (e. g., GPT, Claude, Llama, PaLM).

- 5+ years in Data Science/Applied ML, with production deployments.

- Strong expertise in RAG architectures, vector databases (Pinecone, Weaviate, Chroma), and semantic search.

- Proficiency in Python and GenAI libraries (LangChain, LlamaIndex, HuggingFace, OpenAI/Anthropic APIs).

- Experience with production GenAI deployments - monitoring, scaling, cost optimization, and MLOps practices.

Nice-to-Have (Preferred) :

- Research publications or contributions in NLP/GenAI.

- Experience with clinical decision support systems or healthcare AI.

- Knowledge of distributed training/model parallelization.

- Exposure to healthcare NLP (medical reports, ICD-10 CPT, SNOMED).

Not a Fit If :

- You only have pure research experience with no production deployments.

- Your background is limited to rule-based NLP (without GenAI expertise).

- You lack a systems thinking/cost optimization mindset for scaling AI in production.