AI / Healthcare

Staff / Principal AI Engineer

Healthcare GenAI · Set strategy and architecture for production healthcare GenAI, evolving prompt-based systems to scalable RAG and agents while improving reliability, evaluation and inference economics.

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AI / Healthcare · Confidential employer

Role snapshot

Location: Bengaluru
Work arrangement: In-office · WFH flexibility
Compensation: ₹80 LPA–₹1.1 Cr · 0.1%–0.2% equity
Experience: 10+ years

About the role

Set strategy and architecture for production healthcare GenAI, evolving prompt-based systems to scalable RAG and agents while improving reliability, evaluation and inference economics.

What you'll own

GenAI architecture. Define the technical roadmap from prompts to RAG and agentic systems; lead LLM evaluation, model selection, experiment design and architecture reviews.
Product and regulatory delivery. Partner with Clinical, Product and Business teams to ship AI features; incorporate healthcare workflows, HIPAA and coding standards where relevant.
Production operations. Own MLOps, versioning, monitoring, SLAs, cost optimization, security, incident response and reproducible evaluation.
Engineering strategy. Guide technical trade-offs, build-versus-buy decisions and roadmap delivery across multiple medical specialties.

What we're looking for

Detailed role requirements specify 10+ years in Data Science/ML and 3+ years in deep learning, LLMs and GenAI. The short listing stated 8 years; this form uses 10+ years.
Proven production RAG, vector databases, agent frameworks, model evaluation, deployment and cost optimization.
Python, cloud platforms, distributed services and engineering leadership.
Healthcare domain knowledge and HIPAA/ICD-10/CPT/SNOMED-CT experience are preferred, not mandatory.

How hiring works

Applications are reviewed privately. Employer identity is shared with suitable shortlisted candidates at the appropriate stage.