AI Platform Engineer

Stellar IT Solutions LLC; Chicago (IL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Stellar IT Solutions LLC in Chicago, IL is seeking an AI Platform Engineer to build and scale enterprise AI platform capabilities that empower multiple product teams.

The role focuses on production-ready AI solutions, reusable platform components, governance, quality standards, and enabling AI adoption across the organization. Hybrid work with onsite and remote days, plus occasional international travel.

Qualifications

• Hands-on experience deploying production-grade AI/LLM solutions.
• Experience evaluating AI systems and ensuring non-deterministic quality.
• Strong software engineering fundamentals with production deployment experience.
• Ability to design reusable platform capabilities rather than single-product solutions.
• Experience enabling engineering teams with tooling, patterns, and best practices.

Responsibilities

• Build reusable AI platform components and guardrails for multiple product teams.
• Define AI governance, evaluation frameworks, and quality standards.
• Educate and enable engineers through documentation and training.
• Collaborate with architects to standardize AI development practices.
• Support rollout of SDLC and AI governance processes and drive platform adoption.

Skills

AI/LLM deployment

Production software engineering

Platform engineering

Reusable components

SDLC governance

Tools

.NET

React

Angular

Job description

Job Location:Hybrid (3 days onsite, 2 days remote), Chicago, IL

Travel:Occasional international travel required

Job Duration:Long Term Contract

Job Summary

We are seeking an AI Platform Engineer to build and scale enterprise AI platform capabilities that enable multiple product teams. This role focuses on developing production-ready AI solutions, creating reusable platform components, establishing governance and quality standards, and enabling AI adoption across the organization.

Required Skills

• Hands-on experience building and deploying production-grade AI/LLM or Agentic AI solutions.
• Experience evaluating AI systems and maintaining quality for non-deterministic applications.
• Strong software engineering fundamentals with production deployment experience.
• Systems-level thinking with the ability to build reusable platform capabilities rather than single-product solutions.
• Enablement mindset with experience supporting engineering teams through common patterns, tooling, and best practices.

Preferred Skills

• Experience with Agentic AI or multi-agent workflows.
• Background in AI platform engineering, AI enablement, or AI architecture.
• Experience with .NET, React, or Angular is a plus.
• Background as a Data Scientist with strong engineering skills or a Full Stack Engineer with AI experience.

Key Responsibilities

• Build reusable AI platform components, tooling, and guardrails for multiple product teams.
• Define AI governance, evaluation frameworks, and quality standards.
• Enable engineering teams through shared AI capabilities, documentation, and training.
• Partner with architects to standardize AI development practices across the organization.
• Support the rollout of SDLC and AI governance processes while driving platform adoption.