Location: Hyderabad / Bengaluru (Hybrid)

Experience Required: 6–9 Years

Employment Type: Full Time

Industry: Healthcare Technology

Functional Domain: Applied Artificial Intelligence and Machine Learning

Technical Ecosystem

Artificial Intelligence, Machine Learning, Python, Generative AI, Large Language Models, Retrieval-Augmented Generation

About the Role

We are seeking an AI Engineer to build, evaluate, and improve production-grade AI systems for complex healthcare workflows. The role combines applied machine learning, LLM application development, evaluation engineering, and software development to create reliable, explainable, and auditable clinical AI capabilities.

You will own the lifecycle from workflow understanding and system design through failure analysis, model improvement, and production validation.

Key Responsibilities

- Design and develop AI systems supporting clinical documentation, medical coding, denial prevention, appeals, and revenue cycle workflows.
- Build LLM-powered applications and retrieval-augmented systems that process complex medical records and generate traceable outputs.
- Develop evaluation frameworks using expert feedback, production logs, benchmarks, and model outputs to measure quality, reliability, regressions, cost, and business impact.
- Investigate model and agent failures, identify root causes, and implement improvements to prompts, retrieval, workflows, and application logic.




- Provide technical direction across AI initiatives, review designs, mentor engineers, and partner with research, ML engineering, platform, and product teams.

Required Skills

- Strong hands-on experience with Artificial Intelligence and Machine Learning systems in production environments.
- Proficiency in Python for developing machine learning applications, data workflows, evaluation tooling, and backend services.
- Experience building Generative AI and LLM-based applications, including prompt-driven systems, tool-using agents, and model evaluation workflows.
- Practical experience designing Retrieval-Augmented Generation (RAG) solutions for grounded responses, evidence retrieval, and auditable outputs.

Positive to Have

- Experience in healthcare, clinical workflows, medical coding, revenue cycle management, or other regulated industries.
- Strong communication skills for explaining technical decisions, evaluation results, and system behavior to cross-functional teams.
- Experience taking AI systems through deployment and production operations.

Qualifications

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline, or equivalent practical experience.
- 6–9 years of experience in applied AI, machine learning engineering, research engineering, software engineering, or a related field.

📌 Senior AI Engineer (Bengaluru)
🏢 ensemble global
📍 Bengaluru