AI Systems Engineer

FTE Factory Advisors

AI Systems Engineer responsible for designing and building AI solutions on customer sites. Collaborating with domain experts to shape the technical foundation of AI architecture.

Posted 7/27/2026full-timeDetroit • Illinois, Missouri, Montana, Pennsylvania • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI solution design and implementation, focusing on scalability, reliability, and security while effectively collaborating with cross-functional teams and non-technical stakeholders.

Highest-signal resume keywords

AI Solution DesignPython ProgrammingData ModelingMLOps UnderstandingAI Agent Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsClean Code PracticesSystem IntegrationData Access PatternsMonitoring and Reliability ControlsArchitectural TradeoffsEnterprise Relational DatabasesAPIs IntegrationOrchestration PlatformsProblem-Solving

Soft Skills

CollaborationCommunicationMentoringSelf-DirectedPragmatic Approach

Tools & Technologies

LangGraphHaystackOracleMySQLMicrosoft SQL Server

Industry Keywords

AI DeliveryManufacturing ProcessesStakeholder EngagementTechnical DesignProduction Readiness

Tech Stack

Tools & technologies

JavaMS SQL ServerMySQLOraclePythonSQL

About the role

Key responsibilities & impact

Serve as the technical lead for on-site AI delivery, owning solutions from concept through production deployment, ensuring they are trusted by stakeholders and designed for reuse across future engagements
Work on-site with manufacturing leaders, engineers, and operators to observe processes, and translate ambiguous business requirements into clear technical designs
Own the design and implementation of AI agents and workflows that solve real business problems and provide measurable impact
Establish prompt, retrieval, and orchestration components for AI systems
Integrate AI solutions with customer applications, APIs, and structured/unstructured data sources
Partner with Network & Security teams to design secure data access, identity, and information retrieval architectures
Implement monitoring, logging, evaluation, and reliability controls to ensure production readiness
Support internal teams by mentoring, reviewing designs, and raising the overall technical bar

Requirements

What you’ll need

2+ Years of software engineering fundamentals with a bias toward clean, maintainable code (Languages such as Python, Java, R, C#, or equivalent)
Experience with AI agent frameworks, RAG architectures, and orchestration platforms (e.g., LangGraph, Haystack, or equivalent platforms)
Understanding of data modeling, data access patterns, and system integration, including hands-on experience working with enterprise relational databases and APIs (e.g., Oracle, MySQL, Microsoft SQL Server, or equivalent relational systems)
Proven ability to design for scalability, reliability, security, and long-term maintainability
Conceptual understanding of MLOps, monitoring, and operational reliability practices
Ability to operate without clean APIs or ideal data
Comfort collaborating and communicating with non-technical stakeholders and explaining technical information clearly and concisely to stakeholders.
Strong problem-solving ability, including diagnosing system-level issues, working through incomplete or messy data, and making sound architectural tradeoffs under real-world constraints.
Self-directed, pragmatic, and focused on delivering high-quality working systems—not just ideas.

Benefits

Comp & perks

We are committed to diversity and inclusion and offer a competitive wage and benefits package.