Decision Engineer

Insight Global

Seattle (WA)

On-site

USD 130,000 - 180,000

Full time

38 hours ago
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Benefits offered by this job

Equity opportunity
Health, dental, and vision coverage
Generous paid time off
Cutting-edge AI at scale

Job summary

Insight Global is hiring a Decision Engineer to design, build, and deploy AI-powered applications and automation tools that improve operational efficiency across multiple business units. You will partner with stakeholders from infrastructure, data center, manufacturing, supply chain, finance, and HR to automate bottlenecks and deliver measurable business impact.

The role combines software engineering, AI product thinking, and autonomy in a fast-paced environment, with opportunities to ship

Qualifications

  • 3+ years of professional software engineering experience building production systems.
  • Strong programming experience in Python, Go, or TypeScript.
  • Experience building modern web applications and backend services.
  • Hands-on experience with LLM APIs and AI-powered applications.
  • Familiarity with agent frameworks, workflow automation, and AI development tools.
  • Excellent communication and ability to work with both technical and non-technical stakeholders.

Responsibilities

  • Design, build, and deploy AI-powered applications, automation tools, and decision systems.
  • Partner with operational and business teams to understand workflows and automate opportunities.
  • Own projects end-to-end from problem identification to deployment and adoption.
  • Build integrations between LLMs and internal systems, APIs, databases, and business apps.
  • Develop agent-driven workflows and productivity tools to improve decision-making.
  • Translate knowledge into scalable software; create reusable AI infrastructure and tooling.
  • Design data models and operational systems connecting information across functions.
  • Evaluate new AI technologies and measure outcomes against business impact.

Skills

Python
Go
TypeScript
LLM APIs
Agent frameworks

Tools

OpenAI API

Job description

We are seeking highly motivated Software Engineers to join a fast-growing Decision Engineering organization focused on applying AI to complex operational challenges. This team functions as an internal force multiplier, building AI-powered tools, workflows, and decision systems that significantly improve productivity across critical business functions.

As a Decision Engineer, you will partner directly with stakeholders across infrastructure operations, data center delivery, manufacturing, supply chain, finance, accounting, legal, recruiting, and business operations to identify bottlenecks, automate manual processes, and build software solutions that drive meaningful business impact.

This is an opportunity to combine software engineering, AI, product thinking, and operational problem-solving in a highly autonomous environment.

Responsibilities
  • Design, build, and deploy AI-powered applications, automation tools, and decision systems.
  • Partner directly with operational and business teams to understand workflows and uncover opportunities for automation.
  • Own projects end-to-end, from problem identification and design through deployment and adoption.
  • Build custom integrations between LLMs and internal systems, APIs, databases, communication platforms, and business applications.
  • Develop agent-driven workflows and productivity tools that improve decision-making and operational efficiency.
  • Translate expert knowledge and manual processes into scalable software solutions. Create and maintain reusable AI infrastructure, tooling, and shared engineering frameworks.
  • Design data models and operational systems that connect information across multiple business functions.
  • Evaluate emerging AI technologies and implement new capabilities where appropriate. Measure outcomes and continuously improve systems based on user feedback and business impact.
Functional Areas Supported

Projects may include initiatives across:

  • Compute and infrastructure operations
  • Data center development and delivery
  • Manufacturing and supply chain operations
  • Recruiting and talent acquisition
  • Finance, accounting, and forecasting
  • Legal and contract management
  • Asset tracking and operational reporting
  • Business operations and workflow automation
The ideal candidate:
  • Thrives in highly ambiguous environments.
  • Takes ownership without waiting for direction.
  • Moves quickly while maintaining a high quality bar.
  • Enjoys solving real-world operational problems through software.
  • Is comfortable working directly with business stakeholders.
  • Has experience shipping products that deliver measurable results.
  • Is passionate about leveraging AI to transform how organizations operate.
REQUIRED SKILLS AND EXPERIENCE

3+ years of professional software engineering experience building production systems.

Strong programming experience in one or more of the following:

  • Python
  • Go
  • TypeScript
  • Experience building modern web applications and backend services.
  • Hands-on experience working with LLM APIs and AI-powered applications.
  • Familiarity with agent frameworks, workflow automation, and AI development tools.
  • Strong problem-solving abilities and product mindset.
  • Demonstrated ability to work independently in fast-paced, ambiguous environments.
  • Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders.
NICE TO HAVE SKILLS AND EXPERIENCE

Experience with: OpenAI, Anthropic, or open-source LLMs MCP servers and tool integrations AI coding assistants such as Cursor, Claude Code, Windsurf, or similar tools Knowledge graphs and workflow orchestration Internal tooling platforms Operational software supporting infrastructure, manufacturing, supply chain, finance, legal, or recruiting functions

Compensation & Benefits
  • Competitive base salary
  • Equity opportunity
  • Health, dental, and vision coverage
  • Generous paid time off
  • Opportunity to work on cutting-edge AI and infrastructure initiatives at significant scale
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