Explore high-impact Senior Platform Engineer, AI Evaluation jobs and discover a pivotal career at the intersection of cutting-edge artificial intelligence and robust software engineering. This specialized profession focuses on designing, building, and maintaining the critical infrastructure used to measure, test, and improve AI systems. Professionals in this role are the architects of evaluation platforms, creating the tools and frameworks that enable data scientists and ML engineers to rigorously assess model performance, safety, and reliability before deployment. It is a hybrid discipline demanding deep software expertise coupled with a nuanced understanding of AI/ML workflows. Typically, a Senior Platform Engineer in AI Evaluation is responsible for the end-to-end development of scalable evaluation frameworks. Common duties include architecting data pipelines to manage test datasets and model outputs, developing automated benchmarking systems, and creating intuitive interfaces for researchers to run experiments and analyze results. They work to standardize evaluation metrics and methodologies across an organization, ensuring consistent and comparable assessment of AI models. A key aspect of the role involves close collaboration with cross-functional teams to gather requirements, evangelize best practices in eval-driven development, and provide the tooling needed for both offline testing and online A/B experimentation. The typical skill set for these jobs is comprehensive. Strong software engineering fundamentals are paramount, with proficiency in languages like Python, Go, or Java, and experience with data pipeline tools such as Airflow or Dagster. A solid grasp of database technologies (SQL, NoSQL) and often cloud services (AWS, GCP, Azure) is essential. Crucially, candidates must possess domain knowledge in AI, particularly understanding the architecture of generative models like LLMs, their APIs, and the unique challenges of evaluating subjective outputs like text or code. Familiarity with statistical analysis and metrics relevant to AI performance is highly valuable. While requirements vary, these roles generally seek individuals with 5+ years of software engineering experience, including direct hands-on work with AI evaluation systems, and a degree in Computer Science or a related field. For those passionate about ensuring the quality and safety of AI through world-class engineering, Senior Platform Engineer, AI Evaluation jobs offer a unique opportunity to shape the future of responsible AI development. This career path is ideal for systematic problem-solvers who thrive on building foundational infrastructure that accelerates innovation while enforcing rigorous standards.
