5 hours ago

Prompt Engineer

Anthropic

On Site
Full Time
$360,000
New York, NY

Job Overview

Job TitlePrompt Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$360,000
LocationNew York, NY

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

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.

About The Role

We’re looking for Prompt Engineers to join our product engineering team to help build AI-first products, features, and evaluations. Your mission will be to bridge the gap between model capabilities and real product experience, working with product teams to build consistent, safe, and beneficial user experiences across all product surfaces.

You will be deeply involved in new product feature and model releases at Anthropic, combining engineering expertise with an understanding of frontier AI applications and model quality. You’ll become an expert on Claude’s behavioral quirks and capabilities and apply that knowledge to deliver the best possible user experience across models and domains. You’ll be the first resource for product teams working on Claude’s AI infrastructure: system prompts, tool prompts, skills, and evaluations.

This role requires someone who can effectively balance caring deeply about making Claude the best it can be while also supporting a wide variety of concurrent projects and efforts across many product teams.

Key Responsibilities

  • Prompt Engineering Excellence: Design, test, and optimize system prompts and feature-specific prompts that shape Claude’s behavior across consumer and API products.
  • Evaluation Development: Build and maintain comprehensive evaluation suites that ensure model quality and consistency across product launches and updates.
  • Cross-functional Collaboration: Partner closely with product teams, research teams, and safeguards to ensure new features meet quality and safety standards.
  • Model Launch Support: Play a critical role in model releases, ensuring smooth rollouts and catching regressions before they impact users.
  • Infrastructure Contribution: Help build and improve the frameworks and tools that allow teams to develop and test prompts and features with confidence.
  • Knowledge Transfer: Mentor product engineers on prompt engineering best practices and help teams build their first evaluations.
  • Rapid Iteration: Work in a fast-paced environment where model capabilities advance daily, requiring quick adaptation and creative problem-solving.

Required Qualifications

  • 5+ years of software engineering experience with Python or similar languages.
  • Demonstrated experience with LLMs and prompt engineering (through work, research, or significant personal projects).
  • Strong understanding of evaluation methodologies and metrics for AI systems.
  • Excellent written and verbal communication skills – you’ll need to explain complex model behaviors to diverse stakeholders.
  • Ability to manage multiple concurrent projects and prioritize effectively.
  • Experience with version control, CI/CD, and modern software development practices.

Preferred Qualifications

  • Experience with Claude or other frontier AI models in production settings.
  • Background in machine learning, NLP, or related fields.
  • Experience with A/B testing and experimentation frameworks (e.g., Statsig).
  • Familiarity with AI safety and alignment considerations.
  • Experience building tools and infrastructure for ML/AI workflows.
  • Track record of improving AI system performance through systematic evaluation and iteration.

You Might Thrive in This Role If You…

  • Get excited about the nuances of how language models behave and love finding creative ways to improve their outputs.
  • Enjoy being at the intersection of research and product, translating cutting-edge capabilities into user value.
  • Are comfortable with ambiguity and can define success metrics for novel AI features.
  • Have a strong sense of ownership and drive projects from conception to production.
  • Are passionate about building AI systems that are helpful, harmless, and honest.
  • Thrive in collaborative environments and enjoy teaching others.

Compensation & Benefits

The annual compensation range for this role is $320,000—$405,000 USD.

Logistics

  • Education requirements: We require at least a Bachelor's 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 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.

How We're 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. 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 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 about our policy for using AI in our application process Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

Key skills/competency

  • Prompt Engineering
  • Large Language Models (LLMs)
  • AI System Evaluation
  • Python Programming
  • Cross-functional Collaboration
  • Software Development Practices
  • Version Control & CI/CD
  • Natural Language Processing (NLP)
  • AI Safety & Alignment
  • Product Feature Development

Tags:

Prompt Engineer
Prompt design
LLM evaluation
AI product development
Cross-functional collaboration
Model launch
AI infrastructure
Software engineering
Python
AI safety
Version control
CI/CD
NLP
Machine learning
Claude
Experimentation frameworks
API products
User experience
Rapid iteration

Share Job:

How to Get Hired at Anthropic

  • Research Anthropic's mission: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to beneficial AI.
  • Showcase LLM and prompt engineering expertise: Highlight relevant work, research, or significant personal projects demonstrating your ability to shape and evaluate large language model behaviors.
  • Emphasize cross-functional collaboration: Provide examples of successful partnerships with product, research, and safeguards teams to deliver high-quality, safe AI features.
  • Demonstrate strong ownership: Share instances where you've driven projects from concept to production, especially in fast-paced, ambiguous AI development environments.
  • Articulate AI safety alignment: Discuss your understanding of AI safety and alignment considerations, showing your passion for building helpful, harmless, and honest AI systems.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background