Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Software Engineering

About this role

This role involves building AI-native workflows and tools to support HR and employee lifecycle processes at Anthropic, emphasizing rapid prototyping and autonomous development.

Key Responsibilities

Build full-stack AI workflows
Design and implement AI-native tools
Work directly with stakeholders
Make architecture decisions independently
Contribute to team processes

Technical Overview

The technical environment includes full-stack development, AI workflows, prompt engineering, and deployment in a low-structure environment, focusing on large language models and AI systems.

Ideal Candidate

The ideal candidate is a mid-level software engineer with experience in shipping large language model-native features, capable of end-to-end development, and comfortable working in a fast-paced, low-structure environment. They should be passionate about AI and people processes, with strong collaboration skills.

Must-Have Skills

Experience shipping LLM-native features or applicationsBuild big features independentlyArchitectural decision-makingEnd-to-end developmentFast prototyping and deployment

Nice-to-Have Skills

Experience with AI workflowsExperience with HR or People ProcessesProduct management collaboration

Tools & Platforms

LLMsPrompt engineering toolsProduction deployment tools

Required Skills

Full-stack developmentAI-native workflowsPrompt engineeringPrototypingDeploymentCross-functional collaboration

Hard Skills

Full-stack developmentAI-native workflowsPrompt engineeringPrototypingProduction deploymentCross-functional collaborationLow-structure environment

Soft Skills

CommunicationCollaborationAutonomyProblem-solvingCustomer engagement

Industry & Role

Industry Technology / SaaS / AI

Job Function Developing AI-native tools and workflows for People Products at Anthropic

Keywords for Your Resume

Software EngineerFull-stack developmentAI-native workflowsPrompt engineeringPrototypingProduction deploymentCross-functional collaborationLLMLarge Language ModelAI systemsLow-structure environmentCustomer feedbackArchitectural decisionsEnd-to-end developmentTeam collaborationLLM-native featuresAI workflowsDeploymentCross-functionalCustomer engagement

Deal Breakers

Lack of experience with AI-native features, Inability to work independently end-to-end, No experience with fast prototyping and deployment

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Software Engineer, People Products

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