Tasks Location: New York City (Hybrid)
Employment Type: Full-time
Build production AI systems that solve real-world problems.
We're hiring an experienced
Infrastructure / Backend Engineer to build scalable backend systems, AI agents, and developer infrastructure powering next-generation AI applications.
This is an opportunity to work on cutting-edge AI products in a fast-paced engineering environment with high ownership and technical impact.
What You'll Do
- 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.
RequirementsMust 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.
BenefitsWhat You'll Get
- 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.
Interested?Send us your CV or LinkedIn profile to learn more about this opportunity. Full company details will be shared with shortlisted candidates during the recruitment process.
