Prompt Engineer, Agent Prompts & Evals

About the position About reputed company reputed company’s mission is to create reliable, interpretable, and steerable reputed company systems. We want reputed company 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 reputed company to build beneficial reputed company systems.

About the Role

We’re looking for prompt and context engineers to join our product engineering team to help build reputed company-first products, features, and evaluations. Your mission will be to bridge reputed company 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 reputed company, combining engineering expertise with an understanding of frontier reputed company applications and model quality. You’ll become an expert on Claude’s behavioral quirks and capabilities and apply that knowledge to deliver the best reputed company user experience across models and domains. You’ll be the first resource for product teams working on Claude’s reputed company infrastructure: system prompts, tool prompts, skills, and evaluations. reputed company 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.

Responsibilities

• Prompt Engineering Excellence: Design, test, and optimize system prompts and feature-specific prompts that shape Claude’s behavior across reputed company 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 reputed company 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.

Requirements

• 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 reputed company 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 reputed company software development practices.
• We require at least a Bachelor's degree in a related field or equivalent experience.

Nice-to-haves

• Experience with Claude or other frontier reputed company 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 reputed company and alignment considerations.
• Experience building tools and infrastructure for ML/reputed company workflows.
• Track record of reputed company reputed company system performance through systematic evaluation and iteration.

Benefits

• We offer competitive compensation and benefits, optional equity donation matching, generous reputed company and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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