Find remote AI Agent jobs where AI-native builders can ship from anywhere.
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.
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 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.
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.
Strong software engineering background, production AI or agentic systems experience, architectural judgment, and TypeScript/Node.js or Python expertise. Requires autonomy, product judgment, communication, and English fluency.
6+ years programming experience; expert in TypeScript/JavaScript or Python; experience with React, Next.js or Rails; hands-on with frontier models (OpenAI, Anthropic, Google) and agent harnesses; experience with CI/CD, feature-flagging, and trunk-based development.
Requires deep functional operations knowledge, strategic prioritization, product management mindset, strong communication and influence, peer-network building, AI agent configuration, data-flow mapping, and familiarity with no-code/low-code AI tools.
Experience building production products, reviewing AI-generated code, understanding architecture and security, coordinating AI agents, and communicating in operational English; entrepreneurial experience is preferred.
Strong software engineering fundamentals; hands-on experience with AI coding agents; experience writing agent documentation; building developer tools and integrations; comfortable with CI/CD, cloud infrastructure, and full-stack code.
3+ years of applied AI systems; production experience with agentic AI, AI infrastructure, context engineering, retrieval-augmented generation; Python and/or JVM languages; ability to drive technical adoption.
8+ years engineering experience building and shipping agentic AI systems into production; expertise with agent orchestration, evaluation frameworks, SQL and Python in Snowflake & dbt; experience with LangChain, LangGraph, GraphQL, and streaming/CDC tools.
Hands-on AI/ML engineering leader to own production agentic pipelines, model fine-tuning, evals, observability, and manage a distributed team of 8–10 engineers.