Albert Bow
Staff Software Engineer
New York, New York, US
Role snapshot
Albert Bow is hiring a Staff Software Engineer on a full-time basis. This is a hybrid role based in New York, New York, US.
- Company
- Albert Bow
- Location
- New York, New York, US
- Work mode
- Hybrid
- Job type
- Full-time
- Posted
- Nov 5, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what Albert Bow publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Location: New York City or Minneapolis, USA
Working Model: Hybrid – 3 days in-office
Salary: Competitive
About the Role
We’re looking for a hands-on Staff Software Engineer to build and scale the infrastructure behind enterprise AI agents. You’ll work across AI agent runtimes, memory systems, orchestration and secure execution, ensuring complex AI workflows operate reliably in production.
This is an opportunity to solve challenging problems across applied AI, distributed systems and platform engineering.
Key Responsibilities
- Design and develop AI agent runtimes, reasoning loops and orchestration systems.
- Build agent memory, retrieval and context-management capabilities.
- Develop secure, isolated execution environments for AI agents.
- Implement tool integrations using MCP and related interfaces.
- Improve AI evaluation, observability, reliability and performance.
- Lead architectural decisions, mentor engineers and remain hands-on.
Requirements
- Strong Python skills and experience with TypeScript, Java, Go, Kotlin or Rust.
- Extensive backend, distributed systems and platform engineering experience.
- Experience building production LLM applications, AI agents or multi-step AI workflows.
- Knowledge of containers, cloud infrastructure, security and asynchronous systems.
- Proven technical leadership and strong architectural judgment.
Nice to have: Docker, Kubernetes, MCP, multi-agent systems, agent memory architectures and enterprise SaaS experience.