Senior Engineer, AI

Thank you for considering a career at Ensemble Health Partners India!

Ensemble Health Partners - The single solution for a frictionless revenue cycle with the purpose of redefining the possible in healthcare by empowering people to be the difference. Our India Office is an extension of Ensemble’s team and culture designed to augment and enhance our talent and skill base in Revenue Cycle Management in addition to our long-standing presence in technology. Leveraging our platform of services, technology, business intelligence and analytics, our teams are creating and maintaining innovative products and systems to help our revenue cycle operators achieve the most efficient, ideal outcomes for our clients. Our teams are certified in revenue cycle best practices and are supporting end-to-end RCM operations. We are at the forefront of innovation using cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued, and your contributions will make a difference.

The Opportunity:

Job Title: Senior Engineer, AI
Experience: 6-9 Years
Job Location: Hyderabad (Hybrid)and Bengaluru (Remote)

The Role:

We are looking for an Applied AI Engineer to build, evaluate, and continuously improve clinical AI agents and supervised ML Models. You will work at the intersection of software engineering, LLM systems, evaluation, model improvement, and deep healthcare workflow understanding.

Your job is to turn frontier model capability into reliable production behavior: agents that read complex medical records, use the right clinical and coding context, call the right tools, produce auditable outputs, and improve from real-world failures.

You will be embedded in hard healthcare problems, clinical documentation integrity, medical coding, denial prevention, appeals, revenue cycle workflows, and payer logic — and will own the loop from problem framing to agent design, evaluation, deployment, trace analysis, and ongoing improvement.

The ideal candidate is a strong engineer who thinks like an applied scientist: rigorous about measurement, comfortable with ambiguity, excited by messy real-world data, and motivated by closing the gap between impressive demos and dependable production systems.

Most AI roles are either too research-heavy or too product-light. This role sits in the middle. You will not only write prompts or run experiments. You will own whether an agent actually works in production. That means understanding the workflow, designing the system, building the evals, inspecting failures, improving the agent, and proving that the improvement matters. 

Responsibilities

• Design, build, and continuously improve production AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation.

• Prototype new AI capabilities from 0 to 1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, and performance gates.

• Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, reliability, cost, and business impact.

• Own outcomes end to end: understand the workflow, design the system, inspect failures, improve the system, and prove that the improvement matters.

• Set technical direction for a portfolio of projects, review designs, and mentor engineers as a technical lead.

• Partner with research, ML engineering, platform, and product teams on model selection, training, infrastructure, and Productionalization.

Educational Qualifications

• Bachelor’s degree in computer science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.

• Master’s or PhD in Computer Science, AI/ML, or a related field is a plus.

Industry Experience

• 5-10 years of Applied Research, ML engineering, research engineering, software engineering, or applied AI experience.
• A track record of shipping and operating production systems, ideally in ambiguous, high-stakes domains.
• Prior experience in healthcare, revenue cycle management, or other regulated industries is a plus, not a requirement.

Why Choose Ensemble India?

People First, Last + Always

We believe in putting people…