The Role
Own the vision and roadmap for Eka.care’s agentic AI products. Partner with data scientists and ML engineers on prompts, tools, retrieval, model selection, and multi-agent orchestration. Design rigorous LLM evaluation frameworks, safety guardrails, adversarial tests, and clinical reliability metrics. Lead enterprise and government pilots, translate client needs into product requirements, and communicate outcomes to technical, clinical, and business stakeholders.
Summary Generated by Built In
Product Manager – EkaAgents
Bangalore | Full-time
About Eka.care
Eka.care is one of India's leading HealthTech startups, building at the intersection of Agentic AI and the doctor's daily workflow. Our products span ambient clinical documentation (EkaScribe), an EMR trusted by thousands of doctors across clinics and hospitals, personal health records, and developer infrastructure. Our systems are already live at scale — and we're now pushing the frontier of what AI agents can do inside real clinical environments.
About the Role
As Product Manager for EkaAgents, you will define what our AI agents do, build the evaluation systems that keep them safe, and deploy them with marquee enterprise and government clients. You will work shoulder to shoulder with data scientists and ML engineers across the platform's four pillars: Multi-Modal Intelligence, Agentic Orchestration, Health System Integration, and Trust & Clinical Governance.
What You Will Do
- Own the product vision and roadmap for agentic AI capabilities across Eka.care's platform
- Partner with data scientists and AI engineers on model selection, prompting, tool use, retrieval, and multi-agent orchestration
- Build LLM-as-judge frameworks with rigorous, category-based rubrics covering triage and pathway correctness, under-triage detection, crisis handling, scope and jailbreak resistance, transaction and state logic, multilingual fidelity, and privacy
- Translate ambiguous clinical problems into scoped agent behaviors with explicit guardrails and clear safety gates
- Lead enterprise and government client engagements — scope agent use cases, run pilots, and translate client needs into roadmap
- Define metrics that matter: task completion rate, escalation rate, missed-escalation rate, and user trust, and report to internal and client stakeholders
What We Are Looking For
- 3–5 years of product management experience, ideally on AI/ML or platform products
- Genuine fluency with large language models and agentic systems — able to reason about prompts, tool use, evaluations, and failure modes without needing a translator
- A hands-on instinct for AI evaluation: designing rubrics, seeding adversarial test cases, and grading at scale with an LLM judge
- Strong judgment on AI safety, reliability, and trust trade-offs in a healthcare context
- Clear communication that works equally well with ML engineers, clinical stakeholders, and enterprise clients
Nice to Have
- Exposure to prompt engineering, retrieval-augmented generation, or multi-agent frameworks
- An engineering or data science background before moving into product
- Healthcare domain experience
What You Will Get
- Ownership of the agentic AI product layer at one of India's most technically ambitious healthtech companies
- A front-row seat — and real influence — at the intersection of LLMs, clinical workflows, and enterprise deployment
- Close collaboration with strong data science and engineering teams building on live, scaled infrastructure
- The chance to set the standard for what safe, trustworthy AI agents look like in healthcare
Full-Time Employee Benefits
- Medical Insurance & Accidental Insurance
- Maternity & Paternity Benefits
- PF, Gratuity, & Leave Encashment
- Salary Advance Policy
Let’s build better healthcare, together.
Skills Required
- 3–5 years of product management experience, ideally with AI/ML or platform products
- Fluency with large language models and agentic systems, including prompts, tool use, evaluations, and failure modes
- Hands-on experience designing AI evaluation rubrics, adversarial test cases, and LLM-judge grading systems
- Strong judgment regarding AI safety, reliability, and trust trade-offs in healthcare
- Clear communication with ML engineers, clinical stakeholders, and enterprise clients
- Exposure to prompt engineering, retrieval-augmented generation, or multi-agent frameworks
- Engineering or data science background
- Healthcare domain experience
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
A digitally enabled and connected healthcare ecosystem for better health management. - Manage Your Health Records - Monitor Your Health Vitals - Easy To Use - Private And Secured - Govt. of India Approved #prioritizehealth
.png)
