ML Engineer( Remote from EU /US business hours overlap)
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Summary
Remote-from-EU ML Engineer designing and productionizing Generative AI on Amazon Bedrock — foundation model evaluation, prompt engineering, RAG, AI agents, and MLOps — across patient-access, engagement, and analytics platforms, requiring significant overlap with US business hours.
This is a remote position.
We are looking for an experienced ML Engineer to design, develop, integrate, and operationalize Generative AI solutions using Amazon Bedrock across patient-access, engagement, and analytics platforms.
The role will focus on bringing AI capabilities into production, from foundation-model evaluation and prompt engineering through to RAG, AI agents, enterprise integrations, model evaluation, security, and observability.
This Role requires overlap with US Business hours
Key Responsibilities
- Design and develop Generative AI solutions using Amazon Bedrock.
- Evaluate and integrate foundation models for different business use cases.
- Develop prompt-engineering and Retrieval-Augmented Generation (RAG) solutions.
- Build AI agents and model-enabled workflows.
- Integrate Bedrock with enterprise data sources, APIs, and existing applications.
- Implement model evaluation, guardrails, security, observability, and cost optimization.
- Deploy and operationalize reliable, scalable, and secure AI solutions in production.
- Apply strong software engineering, AWS, API integration, and MLOps practices.
- Collaborate with Data Engineers, Software Engineers, Product teams, and SRE/RunOps teams.
Requirements
- Strong experience as an ML Engineer / AI Engineer.
- Hands-on experience with Generative AI and LLM-based solutions.
- Practical experience with Amazon Bedrock and AWS.
- Strong knowledge of RAG, prompt engineering, foundation models, and AI agents.
- Experience integrating AI solutions with enterprise data sources and APIs.
- Understanding of MLOps, model evaluation, observability, security, and AI guardrails.
- Strong software-engineering and production deployment skills.
- Ability to work effectively with cross-functional technical and product teams.
- English at C1 level, with strong communication skills.
- Ability to work remotely from the EU with significant US time-zone overlap.