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

Intelliforce-IT Solutions Group • Columbia, MD

21h • $138,000 - $182,000

About The Position

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. You will work alongside engineers who value ownership, clarity, and impact, in a company known for deep technical expertise, trusted mission partnerships, and long-term program stability.

Requirements

• Active Top Secret Clearance with Full Scope Polygraph required.
• 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, OpenTelemetry, Grafana, and Prometheus.
• Familiarity with CI/CD pipelines and DevOps practices.
• Ability to manage change, influence technical direction, and operate effectively in ambiguous environments.
• Strong communication and collaboration skills.

Nice To Haves

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

Responsibilities

• 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.

Benefits

• Ample PTO to rest and recharge—plus all federal holidays and your birthday off, just because.
• Multiple medical plan options, including ones with zero deductible or premium for employees.
• Generous 401(k) with immediate vesting—because your future matters now.
• Exciting bonus opportunities, from profit sharing to quarterly awards and President’s Club recognition.
• A culture of collaboration, connection, and fun, with regular team activities that go beyond the work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees