Overview
Role - Senior AI Engineer
Experience: 3+ years in AI/ML
Location: Gurgaon, work from office
About Tap Health:
Tap Health is a deep-tech startup transforming chronic care with AI and changing how people access health information. We are developing AI-driven digital therapeutics for conditions like diabetes, PCOS, hypertension, asthma, pregnancy, obesity, etc, eliminating the need for human support while significantly reducing costs and improving engagement and outcomes.
Our next-generation, fully autonomous digital therapeutic for diabetes simplifies management by delivering real-time, daily guidance to optimize health outcomes at less than 10% of the cost of legacy products. Fully autonomous, it continuously adapts to each user’s lifestyle, habits and motivations to provide personalized adjustments to diet, exercise, lifestyle interventions and medication reminders.
Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience.
Role Overview: Lead AI Engineer
We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations.
The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models.
You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expert—the engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation.
Skills & Experience
The ideal candidate should have the following qualities:
- Strong understanding of fine-tuning, optimization, and neural architectures.
- Hands-on experience with Python, PyTorch, and FastAI frameworks.
- Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.).
- In-depth knowledge of LLMs—how they work and their limitations.
- Ability to assess the advantages of fine-tuning, including dataset selection strategies.
- Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows.
- Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain.
- Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods.
- Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes.
- Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models.
- Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.
Job Type: Full-time
Pay: ₹700,000.00 - ₹1,500,000.00 per year
Application Question(s):
- How many years of AI/ML experience do you have?
- How many years of hands-on GenAI product development experience do you have?
- How many years of GenAI production experience do you have?
- What is your current CTC (in lacs)?
- How soon can you join us (number of days)?
Work Location: In person
Application Deadline: 05/05/2025
- 1 - 20 Yrs
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