Applied AI Engineer, Beneficial Deployments

About Anthropic

Anthropics 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 a member of the Applied AI Beneficial Deployments team at Anthropic you will be a technical Product Engineer focused on enabling organizations that create positive societal impact to successfully integrate Claude into their work. Youll partner with organizations in sectors like education healthcare scientific research and nonprofits to help them leverage AI for meaningful outcomes. Youll combine deep engineering expertise with customer-facing skills to help these organizations understand the potential of working with LLMs and build innovative solutions that address complex challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales Product and Engineering teams youll guide beneficial deployment partners from initial technical discovery through successful implementation. Youll leverage your engineering expertise to help customers understand Claudes capabilities develop evaluation frameworks and design scalable architectures that maximize both technical value and positive impact.

Responsibilities:

• Partner with account executives to deeply understand requirements from mission-driven organizations and architect technical solutions ensuring alignment between social impact objectives and technical implementation

• Serve as the primary technical advisor to beneficial deployment partners throughout their Claude adoption journey from discovery through deployment coordinating internally across multiple teams to drive customer success

• Design and develop proof-of-concept applications and prototypes that demonstrate Claude integration patterns specific to education healthcare research and nonprofit use cases

• Create and deliver technical content tailored for impact-focused audiences through scaled events including hackathons webinars and community workshops

• Build compelling demos that showcase practical integration strategies for organizations working on societal challenges

• Guide technical architecture decisions and help partners build state-of-the-art systems with LLMs that advance their missions

• Help organizations develop lightweight evaluation frameworks and testing suites to measure Claudes performance for their specific impact-driven use cases

• Lead hands-on technical workshops and code reviews with engineering teams at mission-driven organizations

• Identify common integration patterns within beneficial deployment sectors and contribute insights back to our Product and Engineering teams

• Foster community engagement through technical office hours developer forums and impact-focused events

• Maintain strong knowledge of the latest developments in LLM capabilities implementation patterns and technology applications in education healthcare and social good

You may be a good fit if you have:

• 2 years of experience in technical customer-facing roles such as Customer Engineer Forward Deployed Engineer Sales Engineer or Platform Engineer

• Experience working with educational institutions healthcare organizations research groups nonprofits or other mission-driven customers understanding their unique challenges and constraints

• Strong programming skills with proficiency in Python and experience building production applications

• Expertise working with common LLM implementation patterns prompt engineering evaluation frameworks agent frameworks and retrieval frameworks

• Proven ability to develop technical prototypes and demos that showcase practical applications for social impact use cases

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders in mission-driven environments from researchers to nonprofit directors to engineering teams

• Strong technical communication skills with the ability to create scalable content (documentation tutorials sample code) that reaches a broad audience across different sectors

• A passion for using technology to create positive societal impact and understanding of the unique technical and organizational challenges faced by mission-driven organizations

• Excitement for engaging in cross-organizational collaboration working through trade-offs and balancing competing priorities in a high-velocity environment

• 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

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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.

We encourage you to apply even if you do not believe you meet every single qualification. 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 youre interested in this work. We think AI systems like the ones were 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.

Your safety matters to us.To protect yourself from potential scams remember that Anthropic recruiters only contact you addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic 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. Were 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 Anthropic 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!

Anthropic 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 policyfor using AI in our application process