Applied AI, Research Engineer

Anthropic · San Francisco, CA | New York City, NY · Applied AI · listed September 4, 2026

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The shape of it

Seniority
Senior
Experience asked
6+ years
Where
Hybrid
Stated pay
$300,000 – $400,000 USD
Requirements listed
11
Length
1,312 words

In the posting’s own words

As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need.

What it asks for · 11

  • 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users
  • A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed
  • Strong technical aptitude with strong proficiency in at least one programming language
  • Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems
  • Experience designing evals, building prototypes, or developing technical enablement for complex products
  • The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics
  • Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level
  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
  • A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

What the job covers

  • Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain
  • Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle
  • Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains
  • Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one
  • Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field
  • Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps
  • Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge
  • Travel occasionally to customer sites for workshops, implementation support, and research collaboration

Tools and skills named

Models & research
  • Evaluations3×
  • LLM2×
Go to market
  • Go-to-market3×
Product & design
  • Product management
  • Roadmap
Ways of working
  • Testing2×
Frameworks
  • REST

Words the posting leans on

  • product19×
  • technical12×
  • customers10×
  • models10×
  • research9×
  • applied7×
  • build7×
  • field7×
  • capabilities6×
  • domain6×
  • engineer4×
  • applied research3×
  • building3×
  • develop3×
  • evals3×
  • experience3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 4, 2026 and last changed by Anthropic on September 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.