Decision Engineer

Insight Global; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity opportunity

Health, dental, and vision coverage

Generous paid time off

Opportunity to work on cutting-edge AI

Job summary

Insight Global is hiring for highly motivated Software Engineers to join a fast-growing Decision Engineering organization focused on applying AI to complex operational challenges. You will join an internal team that builds AI-powered tools, workflows, and decision systems to improve productivity across critical business functions.

As a Decision Engineer, you will partner with stakeholders across infrastructure operations, data center delivery, manufacturing, supply chain, finance, accounting,

Qualifications

• 3+ years of professional software engineering experience building production systems.
• Strong programming experience in Python, Go or TypeScript.
• Hands-on experience with LLM APIs and AI-powered applications.
• Familiarity with agent frameworks, workflow automation, and AI development tools.

Responsibilities

• Design, build, and deploy AI-powered applications, automation tools, and decision systems.
• Partner with operational and business teams to understand workflows and identify automation opportunities.
• Own projects end-to-end from design to deployment and adoption.
• Develop integrations between LLMs and internal systems, APIs, databases, and business apps.
• Create reusable AI infrastructure, tooling, and engineering frameworks.

Skills

Python

Go

TypeScript

LLM APIs

Web apps

Backend services

Product mindset

Independent work

Tools

OpenAI

Anthropic

Cursor

Job description

Insight Global is hiring for highly motivated Software Engineers to join a fast-growing Decision Engineering organization focused on applying AI to complex operational challenges. As a permanent placement employee, you join a team who 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 (AI Software 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.

Locations:

Seattle, WA | Austin, TX | San Francisco, CA | New York, NY

Type:

Full-Time | Onsite

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

Required Qualifications

• 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.

Preferred Qualifications

• 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

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.

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

Seeking AI-native Software Engineers who can build production-grade applications, agents, and automation systems while partnering directly with operational teams to improve productivity, streamline workflows, and scale business-critical processes through AI.