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Full Stack AI Solution Developer

Role overview

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

Responsibilities

  • Develop AI-enabled capabilities into operational, supportable, and sustainable enterprise solutions
  • Perform hands-on development across the full application stack, including user interface development
  • Develop and maintain containerized applications using Docker and deploy solutions to OpenShift/Kubernetes
  • Identify and troubleshoot application, container, deployment, integration, authentication, database, and performance issues across the full stack

Key facts

Hard skills

Other skills

  • Troubleshooting (Problem Solving)
  • Adaptability

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

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Job description

Our client, a Aerospace And Defense company, is looking for a Full Stack AI Solution Developer for their Remote  location.
 
Responsibilities:

  • 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.
  • 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/LLM 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.
  • 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, LLM-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 LLM 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 LLM-based systems.
 
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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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