Forward Deployed Engineer - Language Models

Artificial Analysis Inc; City of Melbourne; On-site; AUD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Job summary

Artificial Analysis is seeking a Forward Deployed Engineer to own the day-to-day operation of our language model benchmarking stack in Melbourne (ONSITE 3 days/week) and SF (ONSITE 5 days/week). You will onboard models, run benchmarks, and serve as the primary technical contact for AI labs and enterprise customers, explaining results, resolving endpoint issues, and ensuring reliability.

You will collaborate with engineering to improve pipelines, stay current with API changes, and maintain clear

Qualifications

• 3+ years in a client-facing technical role in a fast-moving tech company.
• Strong Python proficiency and ability to navigate large codebases.
• Hands-on experience with AI/ML model APIs (OpenAI, Anthropic, Google, Meta, etc.).
• Excellent debugging skills to trace issues across APIs, data pipelines and code.
• Strong written and spoken English for communicating with technical stakeholders.
• Ownership mindset and reliability; able to own issues end-to-end.
• Comfort with repeatable, operations-style work; detail-oriented and calm under pressure.

Responsibilities

• Onboard new models, configure evaluations, run benchmarks, and validate results.
• Debug issues across API endpoints, data pipelines, and benchmark outputs.
• Be the primary technical contact for AI lab customers; explain results and resolve issues.
• Monitor runs for anomalies and ensure accuracy of published results.
• Maintain documentation and model-specific configurations; collaborate on pipeline improvements.
• Stay current with new model releases and API changes.

Skills

Python

AI APIs

Debugging

Client-facing

English communication

Tools

OpenAI API

Anthropic API

Google AI API

Job description

Job Description – Forward Deployed Engineer – Language Models

Location: San Francisco, CA (on-site, 5 days a week, in our San Francisco office)

Or

Melbourne, Australia (on-site, 3 days a week, in our Melbourne 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.

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