AI Platform Engineer ID60187

AgileEngine•Aurora, CO

1d•Hybrid

About The Position

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for an AI Enablement Engineer to sit at the center of how our engineering organization works with AI — spanning tooling support, an internal agentic SDLC platform, and product incubation. You will work closely with the AI Enablement Lead, Director of Engineering, and product leadership to translate internal AI workflows into features we ship to customers.

Requirements

5+ years of experience in a software engineering, DevOps, or platform engineering role with any backend language such as PHP, Java, TypeScript, JavaScript, Python, C#, .NET, or Golang
1+ years of hands-on experience with LLM-based tools or agentic workflows in a professional setting
Hands-on experience with AI coding assistants such as Claude Code, Windsurf, Amp, or Cursor
Comfort working across multiple technologies and a mixed-technical environment
Direct experience deploying and supporting AI coding assistants across a large engineering team, including configuration, rollout, and troubleshooting
Ability to understand complex engineering problems and design practical, scalable solutions
Familiarity with LLM infrastructure concepts including model routing, API proxying, token management, and model versioning
Strong written communication skills
Comfort working with engineers at varying AI maturity levels
Experience working with automated testing toolchains in a CI/CD context
Upper-intermediate English level

Nice To Haves

Familiarity with PHP and/or C# environments
Hands-on experience building or operating agentic AI workflows, including multi-step agent pipelines and tool/API integration
Experience with spec-driven or structured software specification methodologies
Background in SaaS product development
Experience in a developer tools, testing tools, or security software company
Experience working in distributed teams across multiple time zones

Responsibilities

Own the day-to-day configuration and optimization of AI coding and productivity tools
Act as the primary point of contact for engineers, triaging and resolving issues like integration failures, model compatibility, or configuration drift
Maintain onboarding documentation and runbooks to ensure engineers of all levels can use AI effectively
Run enablement sessions and office hours to drive adoption and guide engineers on best practices for AI-assisted development
Gather feedback from teams to translate real usage patterns into continuous improvements for workflows and tooling
Drive the refinement and expansion of an internal agentic pipeline that connects specification, implementation, testing, and validation into a coherent automated workflow
Own the integration layer between AI agents and the development toolchain, including third-party integrations, execution environments, and context injection strategies
Advance specification quality by building tooling, templates, and workflows that help engineers write specs that agents can act on reliably
Design and run experiments to validate agent configuration decisions and translate findings into platform improvements
Evaluate emerging tools and platforms for potential integration into the agentic workflow
Serve as the primary internal test bed for AI-powered features and workflows intended to ship to external customers
Collaborate with product and engineering leadership to translate internal learnings into product insights and roadmap inputs
Prototype AI-assisted developer experiences that can graduate into product features for SaaS customers
Maintain a rigorous dogfood culture by using products internally and bringing insights back into the development process