Senior Full Stack Software Engineer, AI Infrastructure and Inference - Cleared

Make an Impact Where It Matters Most

At Intelliforce, we build technology that directly supports national security missions and real-world outcomes. This role sits at the intersection of our core software engineering, cloud, and AI enablement capabilities. You will help design and operate the AI infrastructure that powers mission-scale analytics, automation, and decision support across the customer environment.

Location:

Emerson

Schedule:

Full‑time, standard mission hours
Clearance:
Active Top Secret Clearance with Full Scope Polygraph required

You design, implement, and optimize scalable infrastructure supporting AI model inference. You support production AI services and applications, including retrieval‑augmented generation, autonomous agents, and emerging AI capabilities. You take ownership of loosely defined problem spaces and turn them into structured, reliable solutions. You help drive adoption of new tools, technologies, and engineering practices across teams. You implement monitoring, logging, and observability to ensure platform visibility and performance.

You automate infrastructure provisioning and configuration using infrastructure‑as‑code principles. You ensure AI platform components meet availability, reliability, performance, and security expectations. You provide technical guidance and informal mentorship to junior engineers while collaborating across disciplines.

Clearance:
Active Top Secret Clearance with Full Scope Polygraph required.
Citizenship:
Must be a U.S. Citizen.

Bachelor’s degree in a technical discipline is required. Four additional years of relevant software engineering experience may be substituted for the degree. Eight or more years of experience building, integrating, and operating production software systems of similar scope and complexity.

• Proven experience building and maintaining production systems at scale.
• Strong background in high‑volume web application architectures and performance optimization.
• Hands‑on experience integrating complex systems across diverse technologies and platforms.
• Cloud engineering experience in AWS environments.
• Strong proficiency administering and deploying workloads on Kubernetes.
• Advanced Python development skills.
• Experience implementing observability solutions using tools such as APM platforms, Open Telemetry, Grafana, and Prometheus.
• Familiarity with CI/CD pipelines and Dev Ops practices.
• Ability to manage change, influence technical direction, and operate effectively in ambiguous environments.
• Strong communication and collaboration skills.

• Experience with AI inference serving technologies such as vLLM or LiteLLM.
• Prior experience with agentic frameworks such as Lang Chain.
• Knowledge of vector databases and embedding systems.
• Experience working with high‑performance computing or distributed systems.

This role works across a modern AI and platform stack including Python services, Kubernetes‑based container orchestration, AWS cloud infrastructure, CI/CD pipelines, infrastructure‑as‑code tooling, AI inference platforms, retrieval‑augmented generation systems, agent frameworks, observability tooling such as Grafana and Prometheus, and scalable distributed service architectures.

$ – $

* The salary range provided reflects an estimate based on current market trends and may be adjusted based on factors such as the candidate's experience, skills, and qualifications. The final offer will be tailored after a thorough evaluation of the candidate’s background and suitability for the role. Please note that this range is intended as a guideline and is subject to flexibility.

Because you matter—your work, your growth, and your well‑being.

At Intelliforce, we don’t just push the boundaries of technology—we partner with some of the most mission‑driven teams in defense and beyond to solve challenges that truly matter. As a Systems Engineer here, you won’t just contribute to projects—you’ll help shape outcomes that make a real‑world impact.

We also know that great work starts…