Applied AI Engineer, Beneficial Deployments at Anthropic
May no longer be active — verify on the employer site
At a glance
- Company
- Anthropic
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Anthropic job
- 🏢 Anthropic has 53 jobs here, 36 with visa sponsorship see all
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Anthropic if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Act as a deep technical partner for mission-driven organizations: advise on evaluations, agent architectures, context engineering, and cost optimization.
- Provide hands-on engineering support: pair program, prototype, and contribute code to accelerate partner projects.
- Build ecosystem-level tooling and public goods: create benchmarks, MCPs, Agent Skills, and shared infrastructure to scale impact.
- Identify and surface partner-specific challenges to product, engineering, and research teams.
- Produce scalable technical content: docs, tutorials, sample code, demos, and presentations to enable partner self-service.
- Contribute to team processes and culture as the program scales; occasionally travel for workshops and technical deep dives.
Requirements:
- 4+ years as a software engineer, forward deployed engineer, or technical founder with production experience shipping LLM-powered applications.
- Hands-on experience in prompting, context engineering, agent design, evaluation frameworks, and deployment at scale.
- Strong engineering fundamentals and builder credibility; able to earn trust with technical founders and engineering teams.
- Experience or familiarity with mission-driven sectors (education, healthcare, research, nonprofits) and their operational constraints.
- Comfortable mentoring, teaching, and working in ambiguous, resource-constrained environments; pragmatic and scrappy mindset.
- Strong communication skills for technical presentations, documentation, and partner collaboration.
Responsibilities
Serve as a technical partner to mission-driven organizations by advising on AI evaluations, agent architectures, and context engineering. Develop ecosystem-level tooling and public goods infrastructure to scale the impact of AI deployments in social sectors.
Requirements
Requires 4+ years of experience as a software engineer or technical founder with a proven track record of shipping production LLM-powered applications. Candidates should have experience in mission-driven sectors like ed-tech or healthcare and a strong ability to mentor others.
Key skills
- LLM Application Development — in 7 other listings on The Stack
- Prompting — in 7 other listings on The Stack
- Context Engineering — in 12 other listings on The Stack
- Agent Architectures — in 19 other listings on The Stack
- Evaluation Frameworks — in 14 other listings on The Stack
- Software Engineering — in 194 other listings on The Stack
- Prototyping — in 30 other listings on The Stack
- Pair Programming — in 11 other listings on The Stack
- Cost Optimization
- Technical Documentation
- Benchmarking
- MCP
- Agent Skills
- Technical Consulting
- Mentoring
- Public Goods Infrastructure
On The Stack (as of 2026-11-05)
Frequently asked questions about Anthropic
Is this Applied AI Engineer, Beneficial Deployments role still open?
It was posted on 2026-07-14. Listings more than 30 days old may no longer be active, so check Anthropic's site before applying.
Does Anthropic offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Anthropic's site.
Where is this role located?
The listing gives the location as United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: LLM Application Development, Prompting, Context Engineering, Agent Architectures, Evaluation Frameworks, Software Engineering, Prototyping, Pair Programming, Cost Optimization, Technical Documentation, Benchmarking, MCP, Agent Skills, Technical Consulting, Mentoring, Public Goods Infrastructure.