Software Engineer, Agent Systems at NormalComputing

Department: Engineering

Compensation

$200,000 – $400,000/yr

Setup: Hybrid
Location: New York, New York
Type: Full-time
Level: mid
Posted: Aug 10, 2026

Description

Normal Computing is hiring a Software Engineer to build backend runtimes and distributed systems for AI products. The role covers agent execution, orchestration, APIs, persistence, failure recovery, Kubernetes-backed execution environments, observability, and developer tools, with responsibility for turning prototypes into reliable production systems. Candidates need at least four years of relevant software engineering experience, strong backend and distributed-systems fundamentals, production-service experience, and practical experience with containers, Kubernetes, databases, and orchestration systems.

Required Skills

Distributed systems
API design
Kubernetes
Postgres
Redis
Observability

Additional Information

Required Previous Experiences: 4+ years of software engineering experience in backend systems, distributed systems, developer platforms, production infrastructure, or a related area
Experience designing and operating production services
Experience reasoning about distributed state and failure modes
Practical experience with containers and Kubernetes-backed systems
Experience with production data systems
Experience building orchestration systems, workflow engines, job schedulers, sandboxes, developer platforms, or distributed execution systems
Experience designing APIs and abstractions
Preferred Qualifications: Experience building systems for AI agents, model orchestration, code execution, or other LLM-powered products
Deep Kubernetes knowledge
Experience with secure or sandboxed code execution
Background in reliability engineering, infrastructure software, or developer platforms at meaningful scale
Experience working in high-growth environments
Translation Company Name: Normal Computing Corporation

About NormalComputing

NormalComputing

Applied AI

Normal Computing was founded by former members of the Google Brain Team, Palantir, and X who unlocked AI for some of the largest-scale and most mission-critical production systems, and the industry leading ML frameworks for Probabilistic and Quantum AI.

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