We are seeking an ML Engineer to design, develop, integrate, and operationalize generative-AI solutions using Amazon Bedrock across its patient-access, engagement, and analytics platforms. The engineer will collaborate with data engineers, software developers, product teams, and SRE/RunOps teams to deploy reliable, scalable, and secure AI capabilities into production, while applying strong software-engineering, AWS, API-integration, and MLOps practices.

Responsibilities

- Design, develop, integrate, and operationalize generative-AI solutions using Amazon Bedrock.

- Evaluate and integrate foundation models, and develop prompt-engineering and Retrieval-Augmented Generation (RAG) solutions.

- Build AI agents and model-enabled workflows across patient-access, engagement, and analytics platforms.

- Integrate Amazon Bedrock with enterprise data sources and APIs.





- Implement model evaluation, security, guardrails, observability, and cost optimization.

- Collaborate with data engineers, software developers, product teams, and SRE/RunOps teams to deploy reliable, scalable, and secure AI capabilities into production.

Key Requirements

- Applied expertise in software engineering, AWS, API integration, and MLOps practices.

- Experience developing prompt-engineering, RAG solutions, and AI agents

- Demonstrated ability to integrate generative-AI models with enterprise data sources and APIs.

- Hands-on capability to implement model evaluation, security, guardrails, observability, and cost optimization

📌 Machine Learning Engineer – Generative AI (México)
🏢 Tekshapers
📍 México