Senior AI Quality/Evaluation Engineer

IDC is building the next generation of AI-powered intelligence platforms that transform how technology decisions get made. Our platform re-imagines the way decision-makers discover and interact with trusted research and data, and is foundational to IDC's future. 

We are looking for a Senior AI Quality/Evaluation Engineer to establish the evaluation function for the platform's AI systems. This is a solo function initially. You will design and build the evaluation infrastructure that ensures the platform produces accurate, well-sourced, high-quality responses. You will be the first hire in this function and must be able to operate independently, defining your own roadmap and building from scratch. 

The platform's credibility depends on the quality of its AI-generated intelligence. You will build the automated test suites, regression detection systems, and evaluation frameworks that catch quality issues before they reach users. You will work closely with the product team to translate quality criteria into measurable, automatable test scenarios, and with the AI engineering team to ensure that every pipeline change is evaluated against rigorous standards. What You’ll Do

• Design and build the evaluation infrastructure that ensures the platform's AI systems produce accurate, well-sourced, high-quality responses
• Build automated test suites that validate answer quality across agent pipeline changes
• Develop regression detection systems that catch quality degradation before it reaches users
• Create evaluation frameworks that measure response accuracy, citation correctness, and source quality
• Work closely with the product team to translate quality criteria into measurable, automatable test scenarios
• Build cost and latency monitoring that tracks the operational efficiency of AI pipeline execution
• Define evaluation standards and practices that scale as the platform and team grow

• 6+ years of software engineering experience, with significant work in testing infrastructure, ML evaluation, or quality systems
• Experience building evaluation or testing frameworks for LLM-based or ML-based systems
• Understanding of how to measure response quality for generative AI: accuracy, groundedness, citation correctness, relevance
• Proficiency in Python
• Ability to operate independently and define your own roadmap. You will be the first hire in this function
• Experience working at the intersection of engineering and product, translating qualitative quality criteria into quantitative measurements

• Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval, or custom)
• Familiarity with LLM observability tools (e.g., Langfuse, LangSmith, Weights & Biases)
• Background in statistical methods for quality measurement (significance testing, distribution analysis)
• Experience building A/B testing or experimentation infrastructure
• Background in search relevance evaluation or information retrieval metrics

IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify. 

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