Infrastructure / Backend Engineer (AI Agents)

Tasks

• Design and build production-ready AI agents for real-world automation.
• Develop scalable backend services and APIs.
• Build infrastructure for AI applications, including orchestration, observability, and deployment pipelines.
• Collaborate closely with engineering and product teams to rapidly deliver new features.
• Improve developer tooling and internal platforms.
• Evaluate and integrate the latest AI models into production systems.

Requirements

• Must Have:
• 4+ years of software engineering experience.
• Experience shipping production AI agents or AI-powered applications.
• Strong understanding of modern AI models such as GPT-4/4o, Claude, Gemini, or open-source LLMs.
• Strong TypeScript/JavaScript and Python skills.
• Experience building modern web applications and backend services.
• Solid understanding of AI application architecture and LLM integration.
• Excellent problem-solving and communication skills.
• Comfortable working in a fast-moving startup environment.
• Nice to Have:
• Open-source contributions.
• Experience with AI frameworks such as LangGraph, LangChain, Vercel AI SDK, or similar.
• Experience with AWS, GCP, or Azure.
• UI/UX, product design, or technical writing experience.

Benefits

• Competitive salary and equity.
• Opportunity to work on production AI products.
• High ownership and autonomy.
• Collaborative, engineering-first culture.
• Excellent career growth in one of the fastest-growing areas of software engineering.