Applied AI Engineer, DNB

United States Digital Space LLC; Greater London; Hybrid; GBP 225,000 - 255,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Job summary

United States Digital Space LLC is seeking an Applied AI Engineer to work with fast-growing companies, architecting and evaluating Claude-based solutions. You will be the technical advisor for customer teams, contribute to prototypes and reference architectures, and translate learnings into product feedback.

You will collaborate with Account Executives and Applied AI Architects, ship hands-on code, and contribute to evaluation frameworks and technical content that helps builders succeed with

Qualifications

• 4+ years as Software Engineer, Forward Deployed Engineer, or technical founder.
• Experience in a customer-facing or pre-sales technical role.
• Production experience building LLM-powered apps including prompting and deployment.
• Strong Python programming skills and production experience.
• Experience with high-growth tech companies.
• Ability to context-switch across industries and use cases.
• Ships products and can discuss implementation from experience.
• Strong technical communication to translate AI concepts into architecture.

Responsibilities

• Serve as a deep technical advisor to high-growth, tech-forward companies.
• Work hands-on with customer engineering teams: pair programming and architecture reviews.
• Develop prototypes and technical documentation enabling customers to scale with Claude.
• Collaborate with Applied AI Architects to maintain continuity across engagements.
• Identify patterns and share insights with Product and Engineering teams.
• Create developer-focused content: documentation, tutorials, sample code.
• Lead and participate in hackathons, webinars, and developer events.
• Travel to customer sites for workshops and relationship-building.

Skills

Software engineering

Customer-facing

LLM-powered applications

Python

High-growth environments

Context switching

Technical credibility

Technical communication

Workshops & events

Safety by design

Education

Bachelor’s degree or equivalent

Tools

Python (production apps)

Job description

About the company

the company’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.

About the role

As an Applied AI Engineer on our Digital Native Business team, you'll help fast-growing, tech-forward companies build their products on Claude. You'll be the technical advisor their engineering teams turn to for architecture, agent design and evaluation, and you'll work alongside them, pair programming and reviewing architectures, to get from first prototype to production at scale.

You'll partner with Account Executives and Applied AI Architects to take each customer from first conversation through technical evaluation and proof of value to a confident decision to build on Claude, then stay close as they ship and scale. These customers move quickly and expect you to have built things yourself, so you'll be at your best in the code and the architecture review, not just the meeting. Alongside the company's Product and Engineering teams, you'll develop custom evaluation frameworks, prototypes and reference architectures, and turn what you learn across engagements into technical content and product feedback that helps other builders succeed with Claude.

Responsibilities

• Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI
• Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development
• Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude
• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements
• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team
• Create technical content for developer audiences including documentation, tutorials, and sample code
• Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events
• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder
• Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Strong programming skills with proficiency in Python and experience building production applications
• Experience working with high-growth, tech-forward companies
• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases
• Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience
• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans
• Experience facilitating technical workshops, hackathons, or developer-focused events
• Passion for making powerful technology safe and beneficial

LogisticsMinimum education:

Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study:

A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience:

Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy:

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we’re different

We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

the company is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage:

Learn aboutour policy for using AI in our application process.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

£225,000—£255,000 GBP