Applied AI, Research Engineer

EngineersOfAI; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Anthropic is seeking an Applied AI Research Engineer to explore what our models and products can do, prove it with real customers, and enable the Applied AI team to sell and deliver it. You will embed with product teams to develop expertise on new capabilities as they emerge and provide critical feedback to shape the roadmap.

You'll own the technical GTM handshake for model launches: testing, field readiness, and ongoing capability education, while building demos and evals.

Qualifications

• 6+ years of experience as a software engineer or similar technical role.
• Deep technical problems and translating learning into materials, training, or tools.
• Strong programming language proficiency.
• Meaningful experience with large language models and production integration.
• Experience designing evals, building prototypes, and enabling others.

Responsibilities

• Embed with product teams to build deep technical expertise and serve as field expert.
• Own the technical GTM handshake for model and product launches, including testing and readiness.
• Build demos, evals, and prototypes to showcase capabilities.
• Develop enablement materials like playbooks and trainings in partnership with Technical Enablement.
• Engage with strategic customers to solve novel challenges and synthesize learnings for broader use.
• Synthesize insights to inform product and research roadmaps; identify adoption blockers.
• Partner with Sales and Applied AI to support high-value accounts; travel to customer sites occasionally.

Skills

Software Engineer

Technical PM

Forward Deployed Engineer

AI startup founder

Customer-facing experience

LLM proficiency

Prototyping/enablement

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Applied AI Research Engineer

Applied AI Research Team, Applied AI

About the role:

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.

In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most.

This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better.

Responsibilities:

• 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

You may be a good fit if you have:

• 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