Full Stack AI Solution Developer

PDS Inc.
Bradenton, FL, United States
3 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

LangGraph Framework Artificial Intelligence Application Services User Authentication Build Automation Configuration Management Code Review Databases Continuous Integration Information Engineering Persistent Data Structure Data Security
+25 more
Database Design Design of User Interfaces Python (Programming Language) OAuth OpenShift Service Development Studio Software Engineering Systems Integration Data Logging Diagnostic Tools Enterprise Software Applications Kubernetes Helm Charts Backend Gitlab Containerization Gitlab-ci Git Flow Kubernetes Deployment Automation Machine Learning Operations Front End Software Development Model Context Protocol Software Version Control Docker Servicenow

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.

Requirements

  • 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 & conditions

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.

About the company

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit http://www.tadpgs.com/candidate-privacy/ or https://pdsdefense.com/candidate-privacy/

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

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