Hiring | AI Engineer – Agent Evaluation Specialist | C2C/W2 | 14+ Years Experience | Remote

Role: AI Engineer – Agent Evaluation Specialist

Location: Los Angeles, CA (Hybrid)

Duration: 3+ Months (Possible Extension)

Primary Focus

Hands-on Agent Evaluation

Specialisation

Agentic AI, AWS Bedrock AgentCore, Claude Agent SDK, Langfuse, AI Observability & Evaluation

We are looking for an AI Engineer with strong, practical experience in evaluating LLM-powered agents, rather than someone focused primarily on building or developing agents.

Key Requirements (Must-Have)

• LLM-as-a-Judge: Hands-on experience designing, implementing, and running LLM-based evaluation frameworks to assess agent response quality, accuracy, relevance, and reliability.
• Golden Dataset Development: Experience collaborating with Business Analysts and stakeholders to create, validate, and maintain golden datasets that serve as benchmarks for agent evaluation.
• Langfuse: Practical experience instrumenting AI agents using Langfuse, including tracing agent execution, capturing evaluation scores, monitoring performance, and troubleshooting failures.
• Agent Evaluation: Strong understanding of end-to-end agent evaluation, including testing agent behavior, tool usage, reasoning workflows, and response quality.

Critical Screening Criteria

Candidates must demonstrate actual implementation experience with agent evaluation frameworks, not just theoretical knowledge or general GenAI/LLM development.

Agent evaluation is the core requirement and will be the primary selection criterion.

All your information will be kept confidential according to EEO guidelines.