AI Systems Engineer

**Export Control & Compliance Notice:** *Because this AI Systems Engineering role directly supports data and systems subject to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR), candidate eligibility is strictly governed by US federal law. Applicants must qualify as a "U.S. Person" (U.S. Citizen, Lawful Permanent Resident/Green Card Holder, Asylee, or Refugee).* ***We cannot provide or transfer visa sponsorship for this position.*** *Candidates holding temporary student or work visas (F-1 OPT/CPT, H-1B, TN, etc.) are strictly ineligible for this role due to these federal compliance constraints.* [ Are you the kind of engineer who wants to see your work deployed, trusted, and used in real customer environments—not left in notebooks or demos? Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you’re energized by architecture, data engineering, and modern AI delivery, this role is for you. **About Us** Factory Advisors helps manufacturing and operational organizations unlock higher performance — boosting revenue, reducing costs, and driving compliance through people-first strategies. Our clients are decision-makers at the top of their industries, and they trust us to deliver lasting impact. **The Opportunity** We’re seeking an AI Systems Engineer to design and build the technical foundation behind our AI-enabled solutions on customer sites. This role sits at the intersection of software engineering, data engineering, and AI architecture. You’ll be responsible for turning business objectives into AI solutions that operate in production environments. You’ll serve as the technical counterpart to Factory Advisors’s manufacturing and operations experts—bringing structure, rigor, and execution discipline to AI-enabled solutions in real customer environments. You’ll own core architecture decisions, lead hands-on implementation, and develop reusable patterns as our AI delivery scales across clients and use cases. **What You Will Do** - 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 **Essential Requirements** - 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 ad communicating with non-technical stakeholders and explaining…