Full Stack Ai Engineer Jobs in Oregon (NOW HIRING)

LMI is seeking a Full-Stack Solutions Architect with strong hands-on development skills and a talent for agentic AI to join the Chief Technology Office development team. This role is for someone who doesn't just write code - they see the whole system, spot the real problem behind the request, and design the solution before they build it. You'll move fast across a portfolio of high-stakes programs, using agentic AI as leverage to turn architecture into working software at speed. This position requires an active Secret security clearance.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors - helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Providing direct support to multiple customers, this Full-Stack Solutions Architect will:

• Diagnose before you build: Analyze customer requirements and program objectives to uncover the underlying problem, not just the stated request, and design solutions that align with mission needs.
• Architect across the stack: Design end-to-end solutions - from data model to API to UI - that are scalable, maintainable, and fit the constraints of large, complex government programs.
• Leverage agentic AI as a force multiplier: Use advanced agentic AI tools to rapidly prototype, extend, and integrate new functionality into existing code stacks, compressing the distance between idea and working system.
• Drive high-impact, ambiguous problems: Make quick, high-impact contributions to strategically critical projects, often stepping into programs with incomplete requirements and shaping them into a coherent technical plan.
• Translate between worlds: Collaborate with development teams, stakeholders, and technical leads to identify pain points in existing systems, propose creative solutions, and build consensus around the right architecture.
• Move fluidly across programs: Transition seamlessly between programs, applying technical and design judgment to prioritize the highest-impact initiatives.
• Close the loop: Facilitate integrations, resolve technical challenges, and adhere to development timelines within multidisciplinary teams.
• Build for the mission, not just the ticket: Ensure compliance with security protocols, government standards, and industry best practices across all projects.
• Multiply your impact through documentation: Document technical solutions, design rationale, and architectural decisions for knowledge transfer between teams and programs.
• Validate the design, not just the code: Conduct rigorous testing to guarantee performance, scalability, and reliability of updated or newly architected systems.

• Secret clearance required.
• 3-5 years applying full-stack development in a production environment.
• Demonstrated solutions mindset: Experience translating ambiguous requirements into a technical design or architecture, not just implementing pre-defined tickets.
• Experience with agentic AI coding tools: demonstrated proficiency using tools to enhance existing code stacks at scale.
• Proven full-stack development experience: minimum of 3-5 years developing, maintaining, and improving front-end and back-end systems.
• Proficient in at least one back-end language (Python preferred) and one front-end framework/tool (TypeScript preferred).
• Experience designing and consuming RESTful APIs for integration across systems.
• Strong foundational skills across relational (e.g., PostgreSQL, MySQL, SQL Server) and non-relational (e.g., MongoDB) databases.
• Comfortable operating in agile environments and collaborating across multidisciplinary teams.
• Version control proficiency: Git (GitLab preferred).
• Experience with testing, security, DevSecOps, and CI/CD processes.
• Strong communication and influence skills: able to pitch a technical solution to both engineers and non-technical stakeholders, and defend the "why" behind an architecture, not just the "how."

• Advanced proficiency in agentic AI tools, including designing multi-step or multi-agent workflows to accelerate development.
• Experience with cloud environments (AWS, Azure, or Google Cloud) for designing and deploying cloud-based solutions.
• Microservices and containerized architecture experience (Docker, Kubernetes).
• UI/UX design sensibility - knowledge of React, Vue.js, or Angular used in service of better user outcomes, not just implementation.
• Infrastructure-as-code fluency (Terraform, Ansible) as part of a broader DevSecOps practice.
• Data engineering experience: ETL pipelines, data pipeline management, real-time analytics.
• Security certifications (Security+, CISSP) highly desirable.
• Advanced Agile/SAFe experience, including shaping sprint planning around architectural priorities.
• A track record of proposing solutions others hadn't considered - whether that's a novel integration pattern, a smarter data flow, or a way to use AI tooling that saved a program significant time