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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Systems, Inc - **Location:** Portland, ME, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Microsoft Azure, Microsoft Online Services, Cloud Computing, Information Systems, Data Architecture, Python (Programming Language), Machine Learning, Software Deployment, SQL Databases, Systems Integration, Large Language Models, Prompt Engineering, Data Strategy, Build Management, AI Platforms, Information Technology, Data Analytics, Virtual Agents - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9057ce567a8b8cf2 ## About the Role Do you have experience in Systems integration?, * Bachelor's degree in business, Information Systems, Computer Science, Data Analytics, Engineering, or a related field; relevant experience may be considered in lieu of formal education. * 3+ years of software or AI/ML engineering experience with real production deployments. * Experience with Microsoft AI platforms, including Copilot for Microsoft 365, Azure OpenAI, or Azure AI Foundry, and their application in business environments. * Proficiency in Python and API/systems integration development. * Cloud platform experience. * Strong grasp of data architecture and pipeline design (SQL experience is a plus). * The ability to explain what you're building and why you're building it to technical teammates and client stakeholders alike. Bonus points for: * Experience with AI agent development and orchestration frameworks. * Prior work in a consulting or professional services environment. * Experience with the Microsoft AI ecosystem and how tools like Copilot and Azure AI can be applied to improve workflows and productivity. What Sets You Apart: You build things that work and you care about whether they actually help the people using them. You're technically sharp but not siloed; you understand the business context behind your work and communicate with clarity across audiences. You move fast, operate ethically, and bring genuine enthusiasm for what's possible with AI today. Due to the nature of our business and the requirements of ITAR regulations, this role may require access to controlled information and technology. Candidates must be U.S. citizens or lawful permanent residents and be willing to undergo a thorough background check as part of the employment process. Systems Engineering values diversity and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other status protected by law. ## Description Systems Engineering is building out its AI practice, and we're looking for a talented, pragmatic AI Engineer to design and deploy real-world AI solutions for our clients. This isn't a research role - it's a builder role. You'll be developing AI agents, integrating LLMs, architecting data strategies, and deploying cloud-based AI systems that solve actual business problems for actual clients. You'll work hand-in-hand with our AI Solutions Consultant, taking business requirements and translating them into production-grade systems that people use every day. If you're excited by the pace of AI development and want to do meaningful, applied work, this is the role. What Will Make You Successful Here: * You are a builder who takes pride in creating things that work in the real world, not just in demos. * You can communicate technical concepts clearly to non-technical stakeholders - you don't hide behind jargon. * You approach problems with curiosity and entrepreneurial energy and proactively identify what's possible and pursue it. * You understand that the best solution is the one that the client can adopt, not just the most elegant one technically. * You have strong ethical instincts around AI: you think about risk, bias, and responsible use as part of your standard engineering practice. * You thrive in a collaborative, fast-moving environment and are comfortable working across multiple client contexts. * You stay current - the AI landscape moves fast, and so do you. What You'll Do: * Build and deploy AI agents, LLM-powered applications, and intelligent automation solutions, primarily in the Microsoft ecosystem. * Integrate large language models (LLMs) into client workflows via prompt engineering, fine-tuning, and API integration. * Design and implement data strategies, pipelines, and architectures that support AI use cases. * Develop and maintain APIs and system integrations that connect AI solutions to existing infrastructure. * Architect and deploy solutions on cloud platforms with a focus on reliability and scale. * Collaborate with the AI Solutions Consultant and clients to ensure technical solutions are aligned to business goals. * Apply responsible AI practices, including governance, bias evaluation, and explainability to every engagement. * Stay ahead of emerging AI tools, frameworks, and platforms and bring that knowledge into our practice. Our Culture & Benefits: The employees of Systems Engineering are its most valuable resources who have collectively made Systems Engineering a Best Places to Work Company in Maine for over a decade. We pride ourselves on delivering great outcomes for our culture, clients, and our community by cultivating a high-performing culture focused on continuous learning, collaboration, and community impact. Our headquarters is in Portland, Maine, where we're located in the heart of the Old Port in downtown Portland, positioned centrally to the waterfront, trails, parks, cultural events, and restaurants. ## Related Videos - [This App Reached 10,000 Users in One Week. 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