Forward Deployed Engineer - Language Models

Artificial Analysis, Inc.; Deutschland; Hybrid; EUR 121.000 - 181.000; Vollzeit

Benefits dieser Stelle

Equity

Competitive compensation

Zusammenfassung

Artificial Analysis is seeking a Forward Deployed Engineer to own the day-to-day operation of our language model benchmarking stack and act as the primary technical face of Artificial Analysis to industry labs.

You’ll onboard new models to our evaluation pipeline, run benchmarks, and serve as the main technical contact for AI lab customers: explaining results, fielding methodology questions, and resolving endpoint issues in real time.

Qualifikationen

• 3+ years in a client-facing technical role within SaaS, engineering, or consulting.
• Proficiency in Python and comfort with large, complex codebases.
• Hands-on experience with AI/ML model APIs (OpenAI, Anthropic, Google, etc.).
• Excellent debugging skills and ability to diagnose across APIs and data pipelines.

Aufgaben

• Operate and maintain the Python-based language model benchmarking pipeline end-to-end.
• Onboard new models, configure evaluations, run benchmarks and validate results.
• Act as primary technical contact for AI lab customers; explain results and address questions.
• Troubleshoot integration issues via Slack and video conferences with customers.
• Monitor benchmark runs for anomalies and ensure data integrity of published results.
• Maintain up-to-date documentation of processes and model-specific configurations.
• Collaborate with engineers to propose pipeline improvements and refinements.

Kenntnisse

Python proficiency

Client-facing experience

AI/ML model APIs

Debugging skills

English communication

Tools

Slack

Video conferencing

Jobbeschreibung

Job Description – Forward Deployed Engineer – Language Models

Location: United States (Remote) or 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. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. 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.

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

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 (companies like Stripe, Vercel, Cloudflare, Datadog, Palantir, Accenture, or comparable)
• 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. Your work will directly influence the direction of AI.
• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.
• 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. The people who join now will shape the product, the team, and the strategy as we scale.
• Competitive compensation including equity