Find roles where you design, build and deploy AI agents that use tools, complete workflows and solve real business problems.
Entrepreneur First is looking for 50 AI-native founders to join The Bridge W27 in San Francisco: find a co-founder, build, ship, and scale toward a generational company.
Experience shipping AI agents, workflows, or automations; Python, REST APIs, cloud serverless functions, LLM APIs, SQL, authentication, Git, and workflow automation platforms required.
5+ years FullStack experience; expert TypeScript & React and NodeJS; Python required; PostgreSQL, GraphQL/REST; AI engineering with Claude Code; architecture mindset; mentoring; German C1 or native.
Requires end-to-end project delivery, rapid business-domain learning, AI-native workflows, prompt and context engineering, agent design and evaluation, production Python, LLM API integration, version control, and testing.
3–5 years in software or data engineering; strong Python and TypeScript/JavaScript skills; AI/LLM, RAG, agentic framework, API, React, cloud, and data pipeline experience; English proficiency; bachelor's or master's degree or equivalent.
Requires 3–5 years in software or data engineering, strong Python and TypeScript/JavaScript, React, APIs, RAG, embeddings, vector search, agentic frameworks, an AI platform, cloud experience, English, and a relevant degree or equivalent.
0-2 years experience; AI-native fluency using CLI tools (e.g., Claude Code), ability to architect and code agentic solutions, customer-facing onboarding and program management, eligible for U.S. work authorization and government background check.
Requires 10+ years building production software, 3+ years at architect or staff-engineer scope, agentic tooling, LLM systems, cloud architecture, APIs, observability, containers, infrastructure-as-code, CI/CD, and strong written communication.
Requires 7+ years of software engineering experience, 3+ years leading engineers, production LLM or GenAI experience, distributed systems expertise, and knowledge of agentic systems, RAG, evaluations, and observability.
Production Python expertise, experience building and debugging agentic systems, familiarity with agent frameworks/protocols, evaluation rigour, and strong engineering discipline (version control, tests, reproducibility).
7+ years software engineering experience with 3+ years in AI/ML or data engineering; production LLM/agent experience; data pipeline and retrieval expertise; proficiency with modern Python stack and containerized AWS infrastructure.
3–5 years shipping production software; strong in Python; shipped at least one LLM-powered feature; fluent English; experienced with agentic coding tools (eg Claude Code, Cursor); side projects; daily user of AI tooling.
5+ years software development and 2+ years building production LLM applications; strong Python, agentic architectures, RAG, embeddings, vector search, APIs, AWS, and collaborative development experience; bachelor's degree or equivalent.