Description
Prompt Engineer – AI Health Agents
Location: Bengaluru, India
Department: Engineering.
Experience: 2 - 4 Years
Prompt Engineer – AI Health Agents
Location: Bengaluru (Onsite)
Experience: 2–4 Years
Employment Type: Full-time
About Eka.Care
Eka.Care is building the healthcare infrastructure layer for India — a GenAI-powered platform trusted by millions of patients, doctors, and healthcare providers.
From EMRs to intelligent clinical workflows, Eka operates at the intersection of healthcare delivery and AI innovation. Hundreds of clinics, hospitals, and health platforms rely on Eka to power real-world healthcare operations.
Our next frontier is conversational AI agents — systems that can triage patients, manage appointments, and integrate seamlessly into healthcare workflows across WhatsApp, web, and mobile platforms. These are production-grade systems handling real users and real clinical scenarios — not prototypes.
Role Overview
As a Prompt Engineer, you will design, deploy, and scale AI agents in real-world healthcare environments.
This role goes beyond prompt writing — you will work across context design, tool integration, evaluation frameworks, and client workflows to build reliable, production-ready AI systems.
Key Responsibilities
- Design and iterate on system prompts and multi-turn conversational flows for healthcare use cases
- Translate client workflows into AI agent behavior and tool usage logic
- Work with APIs, schemas, and MCP layers to enable agent-tool integrations
- Analyze failures in agent responses and debug conversational breakdowns
- Build evaluation frameworks to measure prompt and agent performance
- Deploy AI agents across channels such as WhatsApp and web widgets
- Document reusable patterns and create playbooks for scalable agent deployment
- Collaborate closely with engineering, product, and client teams
What You’ll Be Working On
- Patient triage systems
- Appointment booking agents
- Multi-turn conversational workflows
- AI agents integrated with EMR systems
- Real-time healthcare interactions across messaging platforms
Required Skills & Experience
- 2–4 years of hands-on experience in:
- Prompt Engineering
- LLM-based systems
- AI agent design
- Experience building production-grade AI or LLM-powered applications
Strong understanding of:
- Tool use / function calling
- Context management
- System & user message structuring
Additional Requirements:
- Ability to debug and improve agent behavior in real-world scenarios
- Comfortable working with APIs, schemas, and basic scripting
- Strong written communication skills (documentation + client interaction)
Nice to Have
- Experience with Model Context Protocol (MCP)
- Experience building evaluation pipelines or prompt testing frameworks
- Exposure to client-facing or solutions engineering roles
- Experience deploying conversational AI on WhatsApp or similar platforms
Why This Role is Unique
- Build AI systems that directly impact real healthcare outcomes
- Opportunity to define how an entire company builds and scales AI agents
- Work across a wide problem space:
- Conversational AI
- Clinical workflows
- Messaging platforms
- Exposure to cutting-edge infrastructure (EMR as MCP server)
What This Role is NOT
- Not a research-only role
- Not a backend-heavy engineering role
- Not limited to writing prompts in isolation
Employee Benefits
Insurance Benefits
- Medical Insurance
- Accidental Insurance
Parental Support
- Maternity Benefit
- Paternity Benefit Program
Mobility Benefits
- Relocation Benefits
- Transfer Support Policy
Retirement Benefits
- Employee PF Contribution
- Flexible PF Contribution
- Gratuity
- NPS
- Leave Encashment
Other Benefits
- Salary Advance Policy
How to Apply
While applying, please share the following along with your resume:
- A brief note on an AI/LLM project you’ve built (what worked, what didn’t)
- Sample work (prompt, tool schema, evaluation setup, or design document)
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