Full Stack Software Engineer (AI Infrastructure), Level 2

Columbia, MD · Government/Military

Full Stack Software Engineer (AI Infrastructure), Level 2 (SWE2) – TS/SCI w/ Poly

Location: Columbia, MD
Compensation Range: $164,000 – $193,000 (annualized USD)
Clearance Required: Must be a U.S. citizen with an active TS/SCI security clearance with polygraph

Description

We are seeking an experienced Full Stack Software Engineer (SWE2) to help design, build, and operate the next generation of AI infrastructure platforms. In this role, you will take ownership of scalable infrastructure components that support AI model inference and a growing ecosystem of AI-enabled applications.

This position is intended for engineers who can work independently in ambiguous problem spaces, define structured solutions, and deliver production-ready systems. You will play a key role in shaping technical direction, improving platform reliability, and driving adoption of modern AI infrastructure practices across engineering teams.

Responsibilities

Design, implement, and optimize infrastructure supporting AI model inference at scale.
Develop and maintain production AI services and applications, including retrieval-augmented generation (RAG), autonomous agents, and emerging AI technologies.
Navigate ambiguous or underspecified requirements and define scalable, maintainable solutions.
Drive adoption of new tools, technologies, and best practices across engineering teams.
Implement and maintain monitoring, logging, and observability solutions for AI services.
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles.
Ensure high availability, reliability, and performance of AI platform components.
Contribute to security best practices for AI systems and data handling.
Provide technical guidance and informal mentorship to junior engineers.

Skills Requirements

Proven experience building and maintaining production systems at scale.
Experience with high-volume web application architectures and performance optimization.
Strong background in systems integration across diverse technologies and platforms.
Hands-on experience with cloud engineering, preferably AWS.
Proficiency with Kubernetes administration and containerized deployment patterns.
Strong Python programming skills.
Experience implementing observability solutions, including APM, OpenTelemetry, Grafana, and Prometheus.
Familiarity with CI/CD pipelines and modern DevOps practices.
Strong change-management skills and ability to influence technical direction.
Ability to thrive in ambiguous environments and create structure where needed.
Excellent communication and cross-team collaboration skills.

Nice to Haves

Experience with AI inference serving technologies such as vLLM, LiteLLM, or similar.
Previous experience with agentic frameworks such as LangChain.
Knowledge of vector databases and embedding systems.
Experience with distributed systems, high-performance computing, or scalability engineering.

Education & Experience Requirement

Bachelor’s degree in a relevant technical discipline and 8+ years of relevant professional experience
OR
12+ years of relevant professional experience in lieu of a degree

Compensation & Employment Policy

Salary is determined by multiple factors, including location, education, experience, technical skills, and organizational requirements. The projected compensation range for this position is $164,000 – $193,000 (annualized USD).

Benefits Overview

At Intezra, Inc., we offer a comprehensive benefits package designed to support our employees’ health, financial security, and work-life balance:

Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents
Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents
401(k): 15% company contribution (no match required)
PTO: 160 hours, increasing with seniority
12 Floating Holidays
4 Code Red Days

EEO Statement

Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.