Software Engineer, Product
Build and deploy internal AI-powered tools and shared infrastructure (agents, skills, LLM integrations) to automate workflows and boost productivity across engineering, operations, and business teams at an AI compute infrastructure company. Requires 3+ years full-stack experience, strong LLM/agent expertise, and autonomous shipping with great product taste.
About the job
Responsibilities
- Build internal tools and applications leveraging frontier models to automate workflows, accelerate decision-making, and reduce manual toil across all functions.
- Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization.
- Integrate AI capabilities into existing products and internal tools, identifying where augmentation delivers measurable impact.
- Build custom integrations between LLMs and internal systems (GitHub, Slack, Notion, JIRA, Salesforce, internal APIs).
- Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques to organizational challenges.
- Create documentation and provide support to enable teams to adopt and extend the tools you build.
Requirements
- 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (but also the ability to work in an arbitrary language, primarily using AI coding tools to drive).
- Strong full-stack development skills with experience building web applications (React, Next.js, or similar frameworks).
- Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks.
- Deep understanding of AI coding agent tools including Claude Code, Cursor, Antigravity, etc., and agent frameworks around them.
- Proven ability to work autonomously (and get their agents to work autonomously for them): identifying problems, designing solutions, and shipping results with minimal direction and high impact.
- Great product and design taste: as the barrier to building gets lower, taste matters more.
- Strong systems thinking and product intuition to balance rapid iteration with building maintainable, scalable foundations that others can build off.
- Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption.
Nice-to-Haves
- Experience with frontier models and rapidly evolving AI capabilities.
Benefits
- Competitive total compensation package (cash + equity).
- Health, dental, and vision insurance.
- Retirement plan.
- Generous PTO policy.
- Commitment to pay equity and transparency.
Skills
Go, Python, TypeScript, React, Next.js, LLM APIs, OpenAI, Anthropic, Mcp Servers, Agentic Frameworks, Claude Code, Cursor
Similar jobs
Fullstack Engineering jobs
Baton
San Francisco, CA
Build scalable full-stack web applications across frontend and backend layers using React, TypeScript, Python, GraphQL, and FastAPI. The role requires at least three years of full-stack development experience and offers hybrid work in San Francisco.
Valon
United States
Build scalable web software and infrastructure for a complex, regulated mortgage-servicing platform. The role requires 4+ years of software engineering experience, strong cross-functional communication, and experience with web applications, distributed systems, mobile applications, or infrastructure.
Arini
San Francisco, CA
Build and deploy AI agents, automation workflows, and enterprise integrations that transform costly healthcare operations. The role requires production software development, customer collaboration, rapid iteration, and ownership of measurable business outcomes.
Teleskope
New York, NY
Build and own customer-facing data-security features end to end, tackling distributed systems and petabyte-scale production challenges. The role requires 3+ years of software engineering experience, strong backend skills in Go or Python, and expertise in databases and schema design.
Faro Health
United States
Build and ship scalable SaaS features across frontend and backend systems using TypeScript or Python, React, Node.js, and cloud technologies. The role requires 5+ years of experience, strong problem-solving and collaboration skills, and the ability to work across a fast-moving product environment.