Full Stack Software Engineer (AI Infrastructure), Level 1

Columbia, MD · Government/Military

Full Stack Software Engineer (AI Infrastructure), Level 1 (SWE1) – TS/SCI w/ Poly

Location: Columbia, MD
Compensation Range: $123,000 – $163,000 (annualized USD)
Clearance Required: Must be a U.S. citizen with an active TS/SCI security clearance with polygraph

Description

We are seeking a Full Stack Software Engineer (SWE1) to help build and support the next generation of AI infrastructure platforms. In this role, you will contribute to the development and operation of the foundational services that enable scalable AI capabilities, with a focus on model inference services and support for a broader ecosystem of AI-enabled applications.

You will work alongside senior engineers in a collaborative environment, gaining hands-on experience with production AI systems while contributing to real-world solutions. This role is ideal for engineers who are eager to grow their skills in cloud-native development, AI infrastructure, and distributed systems.

Responsibilities

Implement and support infrastructure components for AI model inference under the guidance of senior engineers.
Contribute to the development and maintenance of production AI services and applications, including retrieval-augmented generation (RAG) and autonomous agent-based systems.
Assist with implementing monitoring, logging, and observability for AI services.
Support automation of infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles.
Help ensure availability, reliability, and performance of AI platform components.
Follow established security best practices for AI systems and data handling.
Work in ambiguous problem spaces while learning to define structured, scalable solutions.
Collaborate with cross-functional engineering teams and contribute to shared development standards and best practices.

Skills Requirements

Experience contributing to production software systems.
Familiarity with high-volume web application architectures.
Exposure to cloud engineering, preferably AWS.
Working knowledge of Kubernetes concepts and containerized deployments.
Proficiency in Python.
Familiarity with CI/CD pipelines and modern DevOps practices.
Ability to learn new technologies quickly and adapt to evolving technical environments.
Strong communication skills and willingness to ask questions and seek feedback.

Nice to Haves

Exposure to AI inference serving technologies such as vLLM, LiteLLM, or similar platforms.
Familiarity with agentic frameworks such as LangChain.
Awareness of vector databases and embedding systems.
Interest in distributed systems, scalability, or performance engineering.
Experience supporting cloud-native or microservices-based architectures.

Education & Experience Requirement

Bachelor’s degree in a relevant technical discipline and 3+ years of relevant professional experience
OR
7+ 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 $123,000 – $163,000 (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.