Senior Data and AI Solutions Engineer

Responsibilities

• Work closely with engineers, managers, and cross-functional teams to understand complex engineering domains, identify bottlenecks, and build practical solutions that improve decision-making, execution speed, and operational quality.
• Develop and deliver production-grade tools, automated workflows, and agentic AI solutions from concept through deployment.
• Run fast, high-quality proof-of-concepts on emerging AI and agentic technologies, and productize successful ones.
• Implement data flywheels that continuously improve quality through telemetry, benchmarking, automated evaluation, and structured feedback loops.
• Collaborate and contribute ideas and code to Product Engineering's evolving data infrastructure.
• Improve data quality, integrity, governance, metric definitions, and usability across engineering domains.
• Train and enable engineers, managers, and stakeholders to use data, BI, and AI tools effectively
• What we need to see
• B.Sc or M.Sc in Computer Science, or related field, or equivalent experience.
• 12+ years of proven experience building and deploying production software, data products, internal tools, or engineering productivity platforms and 2+ years of experience building AI-enabled or agentic systems, including tools & skills, RAG pipelines, persistent memory, and evaluation infrastructure.

Languages