Entry Level Software Developer (AI Native)

Fedstack; Arlington (VA); Hybrid; USD 60,000 - 95,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

11 paid days off

Industry certifications

Voluntary life insurance

Job summary

Fedstack is launching an entry-level AI Engineer program in Arlington, VA, combining paid remote training with hands-on project work. You’ll gain experience in AI-assisted DevSecOps, CI/CD automation, and secure containerization, with a capstone delivering production-ready AI-powered tooling.

During the assignment you’ll collaborate with product, design, security, and compliance teams to ship increments to production standards.

Qualifications

• Hands-on coding experience through coursework, projects, or internships.
• Strong fundamentals in data structures, algorithms, and web or backend basics.
• Ability to learn quickly and work in an Agile team.

Responsibilities

• Lead AI-assisted DevSecOps practices for secure containerization of legacy apps.
• Develop AI-enhanced CI/CD pipelines that generate security policies and IaC templates.
• Use AI coding assistants for implementation, refactoring, and documentation.
• Generate unit/integration tests to improve coverage and reduce defects.
• Speed up PRs with AI-assisted reviews, summaries, and risk notes.

Skills

Hands-on coding experience

Data structures & algorithms

Agile teamwork

Tools

Java

Spring Boot

Microservices

REST

gRPC

React

SQL

GitHub

CI/CD

Docker

AWS

GCP

LangChain

GitHub Copilot

Job description

The program

• Paid remote training, 10 weeks. Agile sprints, code reviews, and realistic tickets.


• Curriculum focus: AI-assisted software development, prompt patterns for coding and testing, secure and compliant AI use in regulated environments, code quality and reliability, SDLC automation, cloud deployment basics.


• Capstone: Deliver a production-style slice that uses AI tools to cut cycle time, raise test coverage, and improve documentation quality.


• Deployment: Join the client team on-site, contribute to existing services and apps, and continue using AI to accelerate delivery.

What you will do on assignment

• Drive the adoption of AI-assisted DevSecOps practices, using large language models and automation tools to accelerate secure containerization of legacy applications while maintaining security compliance.


• Develop and maintain AI-enhanced CI/CD pipelines that automatically generate security policies, container configurations, and infrastructure-as-code templates based on application requirements and best practices.


• Use AI coding assistants for implementation, refactoring, and documentation while following team guidelines.


• Generate unit and integration tests, improve coverage, and reduce defects.


• Speed up PRs with AI-assisted reviews, summaries, and risk notes.


• Query logs and docs with AI to troubleshoot issues and unblock work.


• Partner with product, design, security, and compliance to ship increments to production standards.

Java or Python, Spring Boot or Node, REST and gRPC, React, SQL, GitHub, CI/CD, Docker, AWS or GCP. AI tools such as LangChain, Cursor, Windsurf, GitHub Copilot, code review assistants, test generators, and documentation copilots.

• Hands-on coding experience through coursework, projects, or internships.


• Strong fundamentals in data structures, algorithms, and web or backend basics.


• Ability to learn quickly and work in an Agile team.


• Willing to work hybrid in D.C. or Arlington Virginia


• Pass a coding challenge, background check, and drug screening.

Nice to have

• Projects that show AI-assisted development, such as AI-generated tests or AI-supported refactors.


• Experience with cloud services, databases, or CI/CD.


• Interest in security, privacy, and handling sensitive data.

Benefits and compensation

• During training: Paid biweekly stipend plus benefits.


• Health insurance including medical, vision, and dental.


• Matching 401(k).


• Voluntary life insurance.


• 11 paid days off per year.


• Industry certification(s).


• Inclusive, collaborative culture.

Entry Level AI Engineer responsibilities

• Development in Java, Spring Boot, Microservices, API while providing expertise in the full software development lifecycle, from concept and design to testing, designing, developing and delivering high-volume, low-latency applications for mission-critical systems.


• Participate in technical solution and design discussions.


• Perform proofs of concept and comprehensive solutions throughout the development lifecycle.


• Add new features while improving efficiency, reliability, and scalability to address client needs.

Year 1: $60,000

Year 2: $95,000

About Fedstack

Fedstack is technology-focused and delivers talent in Full-Stack engineering, Cloud, DevSecOps, Networking, Cyber Security, Artificial Intelligence, Business Intelligence, Data Science, and Machine Learning. Our training uses realistic client environments so you can contribute quickly.

Equal Opportunity Employment

Fedstack is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law.