Entry Level Generative AI Engineer Jobs
New grad generative ai engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with employers like Deloitte, Google, and Adobe hiring at this level now.
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About Peraton
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
About The Role
Peraton Labs is seeking a Developer to provide customer development support while also contributing to a broader Generative AI Platform and AI Program Management Office (PMO) initiatives. This role is focused on hands-on software engineering execution — building features, fixing defects, writing tests, and helping maintain a production platform that serves critical customer mission needs.
This position provides an excellent opportunity for a junior-to-mid-level engineer to grow their skills in a meaningful, mission-driven environment. You will work alongside senior engineers and technical leads, contributing directly to production software while gaining exposure to AI-enabled platform development, cloud-native engineering practices, and cross-functional product delivery.
The ideal candidate is a motivated developer with solid programming fundamentals, a willingness to learn, and the ability to deliver reliable, well-tested code in a collaborative team environment.
Key Responsibilities
- Develop, test, and maintain software components supporting a generative AI platform under the guidance of senior engineers and technical leads
- Build and maintain backend services, API endpoints, data processing logic, and integration components as directed by project requirements
- Contribute to front-end development tasks as needed, supporting user-facing features and interface improvements
- Write clean, well-documented, and testable code that meets team quality standards and engineering best practices
- Participate in code reviews, providing and receiving constructive feedback to improve code quality and personal development
- Support bug triage, defect resolution, and technical troubleshooting across the application stack
- Contribute to broader Generative AI Platform and AI PMO development tasks, including shared services, tooling, and cross-platform integration work
- Assist with automated testing, CI/CD pipeline maintenance, and deployment support activities
- Collaborate with product owners, analysts, and fellow engineers to understand requirements and deliver effective technical solutions
- Help maintain technical documentation, including code comments, API documentation, and system behavior descriptions
- Participate in Agile ceremonies, sprint planning, and team collaboration activities
- Continuously learn and grow technical skills, including exposure to AI/ML integration, cloud-native development, and modern engineering practices
Qualifications
Required:
- 5+ years with a Bachelor's degree, 3+ years with a Master's degree, or a Ph.D.
- Minimum of a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field
- Solid proficiency in Python with demonstrated ability to write production-quality code
- Familiarity with web development fundamentals, including REST APIs, HTTP, and client-server architecture
- Experience with version control systems (Git) and collaborative development workflows
- Basic understanding of relational databases and SQL
- Familiarity with testing practices, including unit testing and basic integration testing
- Strong problem-solving skills and attention to detail
- Ability to work collaboratively in a team environment, accept direction, and communicate progress effectively
- Strong written and verbal communication skills
- US Citizenship with the ability to obtain and maintain a Public Trust suitability
Desired:
- Experience with JavaScript/TypeScript and front-end frameworks (React preferred)
- Hands-on experience with Rust is a plus
- Familiarity with cloud platforms (AWS preferred), containerization (Docker), or modern deployment practices
- Exposure to CI/CD pipelines, automated testing frameworks (pytest or similar), or DevOps practices
- Interest in or exposure to AI/ML concepts, LLM-enabled applications, or agentic AI systems
- Experience with FastAPI, Flask, Django, or other Python web frameworks
- Familiarity with PostgreSQL or other relational database systems beyond basic SQL
- Experience working in Agile or Scrum development environments
- Exposure to government, aviation, or other mission-driven technical environments
- Demonstrated initiative in learning new technologies, contributing to open-source projects, or pursuing relevant certifications
- Basic familiarity with data processing, ETL concepts, or analytical workflows
- 2–5 years of relevant experience in software development, application engineering, or related technical roles
Details
Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
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Find JobsEntry Level Generative AI Engineer Job Market
Who's Hiring
- Deloitte5
- Google3
- Adobe2
- Apple2
- Cotiviti2
Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services7
- Investment & Asset Management6
- Accounting & Auditing5
- Electronics & Hardware4
Entry Level Generative AI Engineer Jobs: Frequently Asked Questions
How do I get an entry level generative ai engineer job?
Build a portfolio that demonstrates hands-on work with large language models, prompt engineering, or retrieval-augmented generation pipelines. Employers at the entry level look for candidates who can show a completed project, an open-source contribution, or a capstone that applies a generative AI framework to a real problem. Familiarity with Python, a cloud platform, and at least one major model API gives applicants a clear edge over those with coursework alone.
Which companies hire entry level generative ai engineers?
Companies hiring entry level generative ai engineers right now include Deloitte, Google, and Adobe, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers early-stage AI startups building new products as well as established technology firms and enterprise software companies expanding their generative AI capabilities.
Are there remote entry level generative ai engineer jobs?
Yes, though availability varies by employer and role. About 14% of entry level generative ai engineer openings are remote or hybrid as of July 2026, making this one of the more flexible engineering disciplines for candidates who need location flexibility. On-site roles still exist, particularly at companies that prefer in-person collaboration during early-career onboarding.
Are these new grad generative ai engineer jobs?
Yes. The listings here include new grad, recent graduate, and junior generative ai engineer roles alongside broader entry level postings. A new grad friendly posting typically welcomes zero to two years of experience, accepts internships or academic projects in place of full-time work history, and treats a strong portfolio or open-source contribution as a genuine qualification. If a posting does not require prior professional experience, it fits the new grad category.
Which industries hire the most entry level generative ai engineers?
Entry Level generative ai engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. Those sectors drive hiring at this level because they are actively integrating generative AI into their core products and workflows, creating demand for junior engineers who can build, fine-tune, and deploy language model applications from the ground up.