Agent Evaluation Engineer — Build-Time Framework & Deployment Gates

We're looking for an Agent Evaluation Engineer — Build-Time Framework & Deployment Gates to join our team in Portugal in a fully remote working mode. In this role, you will design and maintain an evaluation framework for AI agents, ensuring quality and compliance through automated tests and CI/CD deployment gates. You will develop multi-layer evaluation suites that blend deterministic checks with LLM-powered graders, simulate multi-turn conversations, and define reliability metrics.

The position also involves implementing staging validations, shadow-mode traffic analysis, and A/B rollout strategies, with feedback loops from production environments to enhance overall system robustness.

• Design and implement build-time evaluation frameworks for agentic workflows using Lang Graph or comparable orchestration frameworks
• Create deterministic and LLM-as-judge grading pipelines covering reasoning, trajectory accuracy, and output quality
• Develop test harnesses for multi-turn conversational simulations and context-retention scoring
• Define reliability assessment methods including multi-trial metrics (pass@k, pass^k)
• Implement CI/CD deployment gates that enforce quality thresholds and block releases not meeting standards
• Integrate staging validation, shadow-mode traffic comparison, and A/B rollout control in deployment pipelines
• Leverage AWS Agent Core Evaluations for on-demand and online scoring components connected to production feedback
• Convert production incidents into reusable regression cases for continuous quality improvement
• Collaborate with engineering and Dev Ops teams to embed evaluation gates into automated workflows

• 4+ years of experience in building automated testing or evaluation frameworks for ML, LLM, or agentic systems
• Proven hands‑on experience designing multi-layer evaluation suites with deterministic and LLM-based graders
• Expertise with CI/CD pipelines and implementing metric-based quality gates for automated deployments
• Practical knowledge of Lang Graph or similar agent orchestration frameworks
• Strong background in designing simulation-based evaluation strategies and conversation-level tests
• Nice to have Experience with AWS Agent Core Evaluations API (Create Evaluation, custom evaluators)
• Familiarity with shadow-mode, canary, or A/B deployment practices for ML-based platforms
• Background in transforming production failures into build-time regression tests for agent workflows