Enterprise AI Field Engineer — Build Production Agents

Space Executive; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Space Executive in New York is seeking an experienced professional to own the end-to-end AI agent lifecycle, from design to deployment and optimization. You will work across the stack—client, backend, agent runtime, tool layer, and real-time streaming—using Python or TypeScript.

The role requires deploying LLM workflows ( LangGraph ) and agents ( Claude Code SDK ) at production scale, with a focus on async design and distributed systems.

Qualifications

• End-to-end AI agent experience in production environments.
• Experience deploying LLM workflows and agents at scale.
• Strong grasp of async/streaming design and distributed systems.
• Ability to form and verify hypotheses with limited data.
• Fluent English communication with global colleagues.

Responsibilities

• Turn ambiguous requirements into concrete problems from design to implementation.
• Define core versus edge AI agent behaviors for customers.
• Operate agent behavior as configurable prompts and routing.
• Build production infrastructure, APIs, data pipelines, and runtime env.
• Develop evaluation and testing systems with measurable improvements.
• Trace and debug distributed systems end-to-end.

Skills

AI agent design

Python/TypeScript

Production deployment

LangGraph experience

Claude Code SDK

Async/Streaming

Distributed systems

English fluency

Tools

kubectl

Helm

ArgoCD

KEDA/HPA

Terraform

AWS/Azure/GCP

Job description

Space Executive in New York is seeking an experienced professional to own the end-to-end AI agent lifecycle, from design to deployment and optimization. You will work across the stack—client, backend, agent runtime, tool layer, and real-time streaming—using Python or TypeScript.

The role requires deploying LLM workflows ( LangGraph ) and agents ( Claude Code SDK ) at production scale, with a focus on async design and distributed systems.