Full Stack AI Engineer - Generative Apps & PoCs

Leidos Inc; Baltimore (MD); On-site; USD 107,900 - 195,050; Full time

Benefits offered by this job

Competitive compensation

Health and Wellness programs

Paid Leave

Retirement benefits

Job summary

Leidos Inc is seeking a Full Stack Developer for AI Enabled Applications to assist the Social Security Administration in their Digital Modernization Strategy. The ideal candidate will have over 5 years in full stack development, with strong knowledge of Python and cloud technologies.

This role requires collaboration to design scalable applications integrating Generative AI models, ensuring both reliability and security. The position emphasizes career growth, mentorship, and offers competitive compensation in Maryland.

Qualifications

• 5+ years of experience in full stack development.
• 3+ years of experience in Python development.
• Hands-on experience with Azure and AWS.
• Familiarity with Generative AI concepts.
• Proficiency in Python and JavaScript.
• Experience with RESTful APIs and microservices architecture.

Responsibilities

• Design, develop, and implement end-to-end Proofs of Concept.
• Build and maintain scalable web applications integrating Generative AI models.
• Document technical designs and development processes.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Skills

Full stack development

Python

Cloud platforms (Azure, AWS)

Generative AI concepts

JavaScript (Node.js, React, Angular)

RESTful APIs

Agile methodologies

Effective communication

Education

Bachelor's degree or equivalent experience

Tools

Azure DevOps

Docker

Bitbucket

Job description

Leidos Inc is seeking a Full Stack Developer for AI Enabled Applications to assist the Social Security Administration in their Digital Modernization Strategy. The ideal candidate will have over 5 years in full stack development, with strong knowledge of Python and cloud technologies.

This role requires collaboration to design scalable applications integrating Generative AI models, ensuring both reliability and security. The position emphasizes career growth, mentorship, and offers competitive compensation in Maryland.