AI Engineer India (remote) · Engineering · 6 to 8 years experience

Genie Health Pte Ltd.; India; Remote; INR 4,000,000 - 6,000,000; Full time

Job summary

Genie Health in India (remote) is seeking an AI Engineer with 6 to 8 years of hands-on experience to own agentic workflows and LLM infrastructure powering our consumer and clinical applications. You will design, build, evaluate, and iterate AI features, collaborate with product, design and backend teams, and scale multi-client SaaS agent systems while ensuring privacy and compliance in health data.

This role requires initiative, end-to-end ownership, and a track record of delivering impactful AI

Qualifications

• Hands-on experience building AI agents in product companies.
• Experience designing, prompting and managing autonomous or semi-autonomous AI agents in production.
• Strong track record with AI evaluation frameworks (LLM evals, golden datasets).
• Proficiency in handling health data securely within software products.

Responsibilities

• Build multi-client agentic workflows within a SaaS architecture.
• Develop and manage rigorous evaluation pipelines to optimize AI performance and cost.
• Contextualize agent responses using health data while ensuring privacy and compliance.
• Iterate on prompts, routing logic, and context windows for diverse client environments.
• Own features end-to-end from requirements to production.

Skills

Agent design

LLM evaluation

Health data

SaaS architecture

Product mindset

Tools

OpenAI

LangChain

AWS

GCP

React Native

TypeScript

Job description

India (remote) 6 to 8 years of relevant experience

Genie Health is an AI-powered health intelligence platform for clinics and consumers.

A consumer mobile health guide (Genie) is designed to empower individuals to take control of their health. By consolidating complex health data from medical records, lab reports, wearables, and family health histories, Genie creates personalized and actionable health journeys. Using a simple three-step approach - Know Me, Show Me, and Help Me - Genie delivers tailored insights, empowers preventative care, and connects users to the right clinics and experts.

The B2B clinic intelligence platform (Genie SmartCare) enables clinics to engage with their patients intelligently, be it scheduling, messaging, sharing reports and insights from the doctor engagements, enabling the patient to always have all of their health data in one place.

Our mission is to make health management proactive, seamless, and deeply impactful.

About the role

We’re looking for an AI Engineer with 6 to 8 years of relevant experience to take significant ownership of the agentic workflows and LLM infrastructure powering our consumer and clinical applications. This is a highly hands‑on role for someone with strong experience building agents, running rigorous evaluations, and handling complex health data. You’ll work closely with Product, Design, and Backend engineering teams to integrate robust AI capabilities that directly impact patient outcomes.

We’re looking for someone who can take initiative, proactively explore areas to build and improve: someone comfortable taking a feature from design → technical approach → build → test → evaluate → iterate.

The ideal candidate must have worked hands‑on in a product company, building and scaling multi‑client agentic systems in a SaaS environment.

Experience deeply understanding and managing AI performance metrics is critical.

What You’ll Do

• Build and evolve AI agents: Design, deploy, and maintain multi‑client agentic workflows within our SaaS architecture, ensuring they scale efficiently across different customer instances.
• Run comprehensive evals: Develop and manage rigorous evaluation pipelines to continuously monitor AI performance, optimizing for cost, efficacy, clinical outcomes, conversational tone, and response quality.
• Integrate and manage health data: Work securely with complex health datasets (medical records, wearables, lab reports) to contextualize agent responses, strictly adhering to privacy and compliance standards.
• Build RAG systems
• Iterate on multi-client SaaS deployments: Continuously monitor agent behaviors across diverse client environments, refining prompts, context windows, and routing logic based on real-world usage.
• Own features end-to-end: Work directly with Product, Design and Backend from requirements and technical design through implementation, testing, and production.
• Build with AI: Use modern AI development tools to improve engineering speed and quality while maintaining strong engineering standards.

What We’re Looking For

• Product company experience: You have a proven track record working directly for a product company rather than an agency or services firm, bringing a strong product mindset and deep feature ownership.
• Expertise in building agents: Strong hands‑on experience designing, prompting, and managing autonomous or semi‑autonomous AI agents in production environments.
• Mastery of AI evaluation frameworks: You are highly experienced in setting up and running rigorous LLM evals (e.g., using golden datasets, LLM‑as‑a‑judge) to balance cost, efficacy, tone, and quality.
• Health data proficiency: Prior experience safely navigating, processing, and leveraging sensitive health data in software products.
• SaaS architecture familiarity: Deep understanding of how to iterate and manage features in a multi‑tenant SaaS ecosystem.
• Global team collaboration: Experience working effectively with distributed, international teams, maintaining strong communication and alignment across multiple time zones.
• Strong product instinct: You think beyond whether a feature technically works and care about whether it is intuitive, fast and useful to the person using it.
• High ownership and independence: You are comfortable working in a small team and remotely, making good technical decisions and taking responsibility for getting things shipped.
• Missionary mindset: A mindset of full ownership of solutions. Own the metrics around delivering innovation and customer satisfaction

Our Technology

• AI: LLM‑powered and agentic workflows (OpenAI, Anthropic, LangChain, custom evaluation pipelines)
• Cloud: AWS / GCP
• Mobile and web frontend: React Native, TypeScript

Nice to Have

• Experience with consumer health, fitness or wellness products
• Experience building conversational consumer experiences
• Experience working in an early‑stage startup