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Distance Exact 10 miles 15 miles 25 miles 50 miles 65 miles 100 miles 500 miles Advanced Search Search Job Details IT/Technical Full Stack AI Solution Developer , Posted: 9/30/2026 Job Description Job ID#: 226573 Job Category: IT/Technical Position Type: Associate - W2 Duration: 52 Shift: 1 PDS Defense, Inc. is seeking a Remote Full Stack AI Solution Developer. Job ID#226573 Job Description: This role will serve as a full stack engineering developer responsible for developing resiliency-focused AI-enabled capabilities into operational, supportable, and sustainable enterprise solutions. The selected candidate will perform hands-on development across the full application stack, including user interface development, backend service development, data engineering, database design, containerized deployment, CI/CD automation, and operational troubleshooting. The ideal candidate is an experienced full stack developer who has built, deployed, maintained, and sustained production applications. The responsibilities of this position include, but are not limited to: • Development of AI-enabled solutions from prototype/proof-of-concept maturity into operational capability. • Develop, maintain, and troubleshoot frontend applications and backend services. • Support development and sustainment of Model Context Protocol (MCP) services. • Support integration of AI/capabilities, agent workflows, and model/tool interactions into enterprise applications. • Design and implement database and data engineering capabilities, including selection of appropriate database technologies, schema/data model design, data access patterns, and integration with application services. • Develop and maintain containerized applications using Docker and deploy solutions to OpenShift/Kubernetes environments. • Build and maintain GitLab repositories, branching strategies, merge request practices, and GitLab CI/CD pipelines that automate build, test, containerization, and deployment activities. • Automate deployment to OpenShift using Helm charts and related deployment/configuration management practices. • Integrate applications with enterprise authentication and authorization patterns • Identify and troubleshoot application, container, deployment, integration, authentication, database, and performance issues across the full stack. • Develop and maintain technical documentation, operational procedures, troubleshooting guides, and sustainment handoff materials. Basic Qualifications: • 5+ years of experience performing full stack software development. • Hands-on experience developing and sustaining frontend and backend services. • Experience using GitLab for source control, code review, merge requests, and team-based software development. • Experience deploying, operating, or troubleshooting applications in OpenShift or Kubernetes environments. • Experience with modern software delivery practices, including automated build, test, packaging, containerization, and deployment. • Experience with data engineering concepts, data modeling, data persistence, and application/database integration. • Knowledge of OAuth 2.0 or similar authentication and authorization patterns. • Ability to review and understand code developed by others, including AI-assisted code, and determine whether it is correct, maintainable, secure, and operationally supportable. Desired Skills: • Experience with observability, logging, monitoring, and troubleshooting tools. • Familiarity with ServiceNow or similar IT service management platforms. • Experience developing, integrating, or sustaining AI-enabled applications, based solutions, agentic workflows, or AI-assisted automation capabilities. • Familiarity with LangGraph or similar Python-based agentic frameworks. • Familiarity with Model Context Protocol (MCP), tool calling, skills, agents, prompts, context windows, token usage, and application design considerations. • Highly adaptive to priority changes, able to work independently, and able to balance rapid development with long-term maintainability and sustainment. • Familiarity with AI/ML infrastructure, responsible AI considerations, and practical limitations of client - based systems. Benefits offered to vary by the contract. Depending on your temporary assignment, benefits may include direct deposit, free career counseling services, 401(k), select paid holidays, short-term disability insurance, skills training, employee referral bonus, affordable medical coverage plan, and DailyPay (in some locations). For a full description of benefits available to you, be sure to talk with your recruiter. Job Requirements Minimum Security Clearance: No Clearance VEVRAA Federal Contractor / Request Priority Protected Veteran Referrals / Equal Opportunity Employer / Veterans / Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit tadpgs.com or pdsdefense.com The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance Already have an account? Login here © PDS Defense Privacy Policy | Terms and Conditions | EEO Statement and Legal Notices | ShareThis Copy and Paste

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IT/Technical
Full Stack AI Solution Developer , Posted: 9/30/2026
IT/Technical
Associate - W2
PDS Defense, Inc. is seeking a Remote Full Stack AI Solution Developer. Job ID#226573
The responsibilities of this position include, but are not limited to:
Development of AI-enabled solutions from prototype/proof-of-concept maturity into operational capability.
Develop, maintain, and troubleshoot frontend applications and backend services.
Support development and sustainment of Model Context Protocol (MCP) services.
Support integration of AI/capabilities, agent workflows, and model/tool interactions into enterprise applications.
Design and implement database and data engineering capabilities, including selection of appropriate database technologies, schema/data model design, data access patterns, and integration with application services.
Develop and maintain containerized applications using Docker and deploy solutions to OpenShift/Kubernetes environments.
Build and maintain GitLab repositories, branching strategies, merge request practices, and GitLab CI/CD pipelines that automate build, test, containerization, and deployment activities.
Automate deployment to OpenShift using Helm charts and related deployment/configuration management practices.
Integrate applications with enterprise authentication and authorization patterns

Nice-to-haves

Experience with observability, logging, monitoring, and troubleshooting tools.
Familiarity with ServiceNow or similar IT service management platforms.
Experience developing, integrating, or sustaining AI-enabled applications, based solutions, agentic workflows, or AI-assisted automation capabilities.
Familiarity with LangGraph or similar Python-based agentic frameworks.
Familiarity with Model Context Protocol (MCP), tool calling, skills, agents, prompts, context windows, token usage, and application design considerations.
Highly adaptive to priority changes, able to work independently, and able to balance rapid development with long-term maintainability and sustainment.
Familiarity with AI/ML infrastructure, responsible AI considerations, and practical limitations of client - based systems.
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