# Applied AI Engineer, Beneficial Deployments at Anthropic

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> Responsibilities: - Act as a deep technical partner for miss

- **Company:** Anthropic (https://jobs.trythestack.co/companies/anthropic)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** 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
- **Posted by employer:** 2026-07-14
- **Added to The Stack:** 2026-07-15
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/anthropic/jobs/5343697008 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/applied-ai-engineer-beneficial-deployments-anthropic

## 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.

## FAQ

- **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.

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## Notes for agents

- Apply on the employer's page (https://job-boards.greenhouse.io/anthropic/jobs/5343697008). The Stack does not take applications.
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