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. Why Should You Apply? • Health Benefits • Referral Program • Excellent growth and advancement opportunities

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdllmdockerkubernetespythonml

Platform: jobdiva
Effort: medium