AI Solutions Engineer 1

About the Role

Were building AGSs AI Engineering team from the ground up and were hiring engineers at the start of their careers who want to build real AI systemsnot tinker with demos. As a AI Solutions Engineer I youll write code that ships to production contributing to intelligent agents agentic workflows and the reusable Foundation Layer capabilities that power them.

This is a learning-intensive role with real responsibility. Youll pair with senior engineers and the Lead participate in code reviews and build working features from day one. We dont expect you to know LLMs or the Microsoft ecosystem yetwe expect strong software engineering fundamentals and the drive to learn fast. If you can write clean code reason about problems clearly and take feedback well well invest in your growth.

We hire engineers not configuration specialists. If you want to write real software that solves real problems using AI this is where to start.

Responsibilities

Build & Deliver

• Develop features for intelligent agents conversational interfaces and agentic workflows
• Implement components of Foundation Layer services under guidance from senior engineers
• Write integrations between AI capabilities and enterprise systems (M365 Dataverse external APIs)
• Write clean tested code that follows team patterns and standards
• Fix bugs investigate issues and improve existing solutions

Learn & Grow

• Pair program with senior engineers and the Lead to learn architecture patterns and best practices
• Participate actively in code reviewsask questions give thoughtful feedback and apply what you learn
• Build understanding of our technology stack: Semantic Kernel Azure Microsoft 365 LLMs
• Develop skills in prompt engineering RAG patterns and agent design through hands-on work
• Take on progressively more complex work as your skills develop

Engineering Practices

• Write unit and integration tests for your code
• Follow CI/CD practices and contribute to build and deployment processes
• Document your workwhat you built why and how it works
• Monitor deployed solutions and participate in incident response

Collaboration

• Work with AI Solutions Analysts to understand requirements and ask clarifying questions
• Communicate progress blockers and what youre learning to your team
• Participate in sprint ceremonies and contribute to planning discussions
• Support QA by clarifying implementation details and fixing defects

Qualifications :

Qualifications

Required

• 13 years of software engineering experience (internships and personal projects count)
• Strong programming skills in Python and/or TypeScript
• Solid CS fundamentals: data structures algorithms and basic systems thinking
• Experience with Git and version control workflows
• Ability to write and run tests
• Clear communication skillsyou can explain your code and your reasoning
• Intellectual curiosity and a bias toward learning by building

Preferred

• Experience building web applications or APIs (any framework)
• Familiarity with cloud platforms (Azure AWS or GCP)
• Exposure to AI/ML concepts LLMs or chatbot development
• Experience with CI/CD pipelines or containerization (Docker)
• Computer science degree or equivalent practical experience
• Familiarity with agile development practices

Technology Stack

• Languages: Python TypeScript
• Platforms: Azure (Container Apps Functions AI Services) Microsoft 365
• Agent Development: Copilot Studio Power Automate custom orchestration
• Data: REST APIs Dataverse SQL Snowflake
• AI/ML: Large Language Models prompt engineering RAG patterns MCP
• Tools: Git GitHub CI/CD pipelines Docker

We dont expect you to know all of this. We expect the fundamentals and the ability to

learn the rest quickly.

What Were NOT Looking For

• People who want to configure tools rather than write code
• Engineers who wait to be told exactly what to do and how to do it
• Developers who skip testing documentation or code review
• People who treat AI as a black box rather than something to understand

What Makes You Stand Out

• Youve built somethinga side project an open-source contribution a school project youre proud of
• You write code thats clean and readable not just functional
• You ask good questions when youre stuck instead of spinning
• You take feedback as fuel not criticism
• Youre curious about how things work under the hood
• You want to be great at this not just good enough

Career Growth

This is the entry point for our engineering career track:

Junior Senior Lead Architect

Youll have a clear path forward with real mentorship. The Lead AI Solutions Engineer and senior engineers will invest in your development through pairing code review and progressively larger scope. Engineers who grow quickly here will take on ownership of features then systems then architecture.

Additional Information :

As a workplace we focus on relationships with each other our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives backgrounds and ideas drive innovation and make us successful.

See what its like to work at AGS by searching #LifeAtAGS on any social network.

Remote Work :

No

Employment Type :

Full-time