Design, build, and operate production AI systems, including tool-calling agents, model orchestration layers, and RAG.
Implement and maintain AI integrations using modern frameworks, MCP servers, and external model providers.
Build and evolve scalable backend services and APIs that power automated workflows and customer-facing features.
Think in automation and workflows: design systems using tools like n8n, Claude Code-style agents, or similar orchestration approaches where appropriate.
Make architectural decisions that balance latency, cost, reliability, and iteration speed.
Own infrastructure, observability, and performance for both AI and non-AI services.
Collaborate closely with product, design, and data teams to ship features that solve real customer problems.
Help define engineering best practices, AI safety/reliability norms, and our overall technical culture.

Requirements

7+ years of experience building products in high-growth environments.
2+ years of experience building with LLMs.
Avid use of state-of-the-art AI development tools such as Cursor and Claude Code.
Fluency with backend technologies like PostgreSQL, Redis, and cloud services (AWS preferred).
Experience with frontend development, especially TypeScript and its ecosystem.
Strong product sense, balancing performance, flexibility, and speed.
Comfortable working in dynamic startup environments with evolving needs.
Excellent communication and collaboration skills.

Benefits

📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI systemsmodel orchestrationbackend servicesAPIsautomationLLMsPostgreSQLRedisTypeScriptcloud services

Soft Skills

communicationcollaborationproduct senseadaptabilityproblem-solving