At a Glance
- Tasks: Operate and maintain our Python-based language model benchmarking pipeline and troubleshoot issues.
- Company: Join Artificial Analysis, a leading AI benchmarking company shaping the future of AI.
- Benefits: Competitive compensation, equity options, and the chance to work with top AI labs.
- Other info: Dynamic team environment with opportunities for growth as we double in size.
- Why this job: Become an expert in AI while managing relationships with industry leaders and shaping AI development.
- Qualifications: 3+ years in a client-facing technical role and strong Python skills required.
The predicted salary is between 70000 - 85000 £ per year.
Location: San Francisco (on-site in office)
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
The Opportunity
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 Forward Deployed Engineer to own the day‑to‑day operation of our language model benchmarking stack and act as the technical face of Artificial Analysis to the industry’s most important labs. You’ll onboard new models to our evaluation pipeline, run and debug benchmarks, and serve as the primary technical point of contact for AI lab customers: explaining results, fielding methodology questions, and resolving endpoint issues in real time.
This is a deployed role in the truest sense: you sit at the interface between our platform and our most sophisticated customers, accountable for both sides working. It is about running a sophisticated stack exceptionally well, consistently and reliably, while being the trusted engineer our customers ask for by name.
What You’ll Do
- Operate and maintain our Python-based language model benchmarking pipeline end‑to‑end: onboard new models, configure evaluations, execute benchmark runs, and validate results
- Debug issues across the stack, from API endpoint timeouts and errors to unexpected benchmark outputs, and resolve them quickly
- Serve as the primary technical contact for AI lab customers: communicate benchmarking results clearly, explain methodology, field technical questions, and troubleshoot integration issues via Slack and video conferencing
- Monitor benchmark runs for anomalies, investigate discrepancies, and ensure the accuracy and integrity of published results
- Maintain documentation of processes, known issues, and model‑specific configurations
- Collaborate with the engineering team to flag pipeline improvements and contribute to process refinements
- Stay current with new model releases, API changes, and developments across the language model ecosystem
What We’re Looking For
Required:
- 3+ 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 exceptionally well
- High attention to detail and calm under pressure
Nice to have (not required):
- Experience with AI evaluation, benchmarking, or testing methodologies
- Familiarity with LLM inference infrastructure (tokenization, latency measurement, throughput metrics)
- Experience working in or with AI labs or model providers
- Background in B2B SaaS or developer tools
Why Artificial Analysis?
- 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 40+ people, on track to double by end of year, backed by some of the most connected investors in AI.
- Competitive compensation including equity
Forward Deployed Engineer - Language Models in Tipton employer: Artificial Analysis, Inc.
Artificial Analysis is an exceptional employer, offering a unique opportunity to work at the forefront of AI technology in the vibrant city of San Francisco. With a strong focus on employee growth and development, team members are encouraged to become world experts in AI while collaborating with leading labs and enterprises. The company fosters a dynamic work culture that values innovation and reliability, providing competitive compensation and equity as part of its commitment to attracting top talent.
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