AI/ML Engineer – LLMs, RAG Pipelines (US Healthcare)

Location: India- Remote

Experience: 5–10 Years

About The Client

We are hiring on behalf of our client, a pioneering organization addressing the growing shortage of healthcare professionals through AI-driven solutions. They are building next-generation AI healthcare workers to enhance care delivery, improve patient outcomes, and support providers at scale.

Job Summary

We are looking for a skilled Machine Learning Engineer to join the engineering team. This role focuses on building and optimizing multi-agent systems that power an ML-driven provider assistant. The ideal candidate will have strong experience in LLMs, RAG pipelines, and production-grade ML systems, along with a passion for solving complex problems in a fast-paced, evolving environment.

Key Responsibilities

• Design, develop, and maintain multi-agent ML systems for care pathway optimization
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for low latency and high accuracy
• Develop scalable, reliable, and safe ML solutions aligned with goal-driven workflows
• Integrate LLMs and proprietary ML models into production environments
• Collaborate with cross-functional teams (data science, engineering, product)
• Solve challenges related to real-time ML applications, including performance and scalability
• Monitor, evaluate, and improve ML model performance in production
• Explore and adopt new tools, frameworks, and ecosystems beyond existing cloud environments
• Implement MLOps best practices (model versioning, retraining, deployment)
• Ensure compliance with data privacy and security standards
  
  

Key Requirements

• 5+ years of experience in Machine Learning Engineering or related roles
• Strong experience in building production-grade ML systems
• Hands-on experience with LLMs and RAG pipelines
• Solid understanding of multi-agent systems and distributed architectures
• Proficiency in Python and frameworks such as LangGraph, Google ADK, etc.
• Experience with cloud platforms (preferably Azure) and cloud-native ML tools
• Strong problem-solving skills in latency, accuracy, and ML system safety
• Good knowledge of data structures, algorithms, and software engineering principles
• Experience with MLOps practices (monitoring, retraining, versioning)
• Excellent communication and cross-functional collaboration skills
• Experience in US Healthcare domain
• Ability to work in ambiguous and evolving problem spaces
• Experience in high-impact, fast-paced environments
  
  

Additional Information

Minimum 1.5+ years stability in each organization

Remote for a couple of months; once the team is set up, later might have to move to Bangalore.

Notice Period: Immediate to 30 days preferred