Senior ML / Evaluation Engineer

We're looking for a Senior ML / Evaluation Engineer to join our team in Portugal in a fully remote working mode. In this role, you will own the design and implementation of advanced evaluation frameworks for an Enterprise Agent Development Platform—a production-grade, cloud-native ecosystem enabling scalable, secure AI agent deployment. You will create evaluation strategies that combine LLM-as-judge grading with deterministic checks, define enterprise evaluation standards, and implement CI/CD deployment gates to enforce quality metrics prior to release. This position requires strong expertise in ML system testing, evaluation design, and integration into automated pipelines for agentic environments. Responsibilities Design and implement multi-layer evaluation frameworks for agentic workflows and AI-driven applications Build LLM-as-judge evaluators leveraging AWS AgentCore built-in modules and custom logic for correctness and helpfulness checks Develop deterministic evaluators as AWS Lambda functions for rule-based validation Define enterprise evaluation standards, including mandatory dimensions, scoring criteria, and pass/fail thresholds Implement CI/CD deployment gates using on-demand evaluation modes to enforce quality in automated pipelines Enable online evaluation in production by integrating sampling-based evaluation strategies and PII detection guardrails Incorporate observability signals (OpenTelemetry spans) from AWS AgentCore into grading frameworks for trace-level assessment Generate metrics, logs, and dashboards from evaluation outcomes via CloudWatch or equivalent monitoring platforms Collaborate with platform, orchestration, and DevOps teams to maintain evaluation reliability and scalability Requirements 5+ years of experience in ML engineering, AI evaluation frameworks, or AI platform development Hands-on expertise designing LLM evaluation frameworks (LLM-as-judge and deterministic graders) Practical experience implementing CI/CD deployment gates for ML model or AI agent quality assurance Proficiency in Python for building evaluation logic (deterministic Lambda-based evaluators) Strong understanding of advanced validation dimensions, including multi-turn context integrity and workflow-level scoring Nice to have Familiarity with AWS AgentCore Evaluations API (CreateEvaluation, GetEvaluationResult) Exposure to AWS Bedrock Guardrails for compliance and sensitive data validation Experience integrating evaluation metrics into AWS CloudWatch for monitoring and alerting Knowledge of OTel instrumentation and trace ingestion for quality scoring inputs