Solutions Engineer — Language Models

Role Description

Artificial Analysis maintains one of the most comprehensive language model benchmarking suites in the industry, evaluating frontier models across quality, speed, and pricing for the AI labs and enterprises that rely on our data.

We're hiring a Solutions Engineer to own the day-to-day operation of our language model benchmarking stack. This is a hands-on, operational role:

• Add new models to our evaluation pipeline
• Run and debug benchmarks
• Serve as the primary technical point of contact for AI lab customers
• Explain results, field methodology questions, and resolve API endpoint issues over Slack and video calls

This is not a software engineering role focused on building new systems. It's about running a sophisticated existing stack exceptionally well, consistently and reliably, while being the trusted technical face of Artificial Analysis to our customers.

Qualifications

• 5+ years of experience in a client-facing technical role — solutions engineering, support engineering, technical consulting, or similar
• Strong Python proficiency and comfort working with complex codebases you didn't write
• Hands-on experience working with AI/ML model APIs (OpenAI, Anthropic, Google, Meta, etc.)
• Excellent debugging skills — you can trace issues across APIs, data pipelines, and code
• Strong written and verbal English communication skills, with the ability to explain technical concepts clearly to technical stakeholders
• Highly responsive and reliable — you take ownership of customer issues and follow through
• Comfortable with operational, repeatable work — you find satisfaction in running things well rather than building from scratch
• High attention to detail and calm under pressure

Requirements

• Experience with AI evaluation, benchmarking, or testing methodologies (nice to have)
• Familiarity with LLM inference infrastructure (tokenization, latency measurement, throughput metrics) (nice to have)
• Experience working in or with AI labs or model providers (nice to have)
• Background in B2B SaaS or developer tools (nice to have)

Benefits

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities.
• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released.
• Work with the most important players in AI: You'll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.
• Join at a defining moment: We're 35+ people and fast growing, backed by some of the most connected investors in AI.
• Competitive compensation including equity