Decision Engineer, AI-Driven Operations

Fluidstack; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Health, dental, and vision insurance

Equity

Job summary

Fluidstack is hiring engineers to deploy frontier compute infrastructure with speed and scale. You will ship production-grade code in Go, Python, or TypeScript and work with LLM APIs, MCP servers, and agentic frameworks to automate complex workflows.

You will embed forward-deployed teams with finance, legal, and recruitment to turn approvals and contracts into structured, automated data and processes. The role emphasizes autonomy and delivering impactful infrastructure for AI at scale.

Qualifications

• Shipped production code in Go, Python or TypeScript.
• Experience building features on LLM APIs and agentic frameworks.
• Familiarity with AI coding tools and autonomous systems.
• Proven ability to move fast under deadlines while maintaining solid foundations.

Responsibilities

• Build the hiring machine as software to streamline interviewing and onboarding.
• Create a cash view and forecasting system tied to project milestones.
• Develop a capital pipeline from budget to spent dollars with automated checks.
• Parse MSAs, change orders, and side letters into structured data for teams.
• Collaborate cross-functionally with finance, legal, and recruiting teams.

Skills

Go

Python

TypeScript

LLM APIs

Agentic frameworks

AI tooling

Autonomy

Stakeholder alignment

Tools

OpenAI API

Anthropic API

MCP servers

Job description

Fluidstack is hiring engineers to deploy frontier compute infrastructure with speed and scale. You will ship production-grade code in Go, Python, or TypeScript and work with LLM APIs, MCP servers, and agentic frameworks to automate complex workflows.

You will embed forward-deployed teams with finance, legal, and recruitment to turn approvals and contracts into structured, automated data and processes. The role emphasizes autonomy and delivering impactful infrastructure for AI at scale.