Full Stack AI Solution Developer
US client via staffing partner · Remote
- Location
- Remote · Remote
- Salary band
- $65 – $72/hr
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
AI/LLM · Full Stack Development · Python · Docker · OpenShift · Kubernetes · GitLab · CI/CD · Model Context Protocol (MCP) · LangGraph · OAuth 2.0 · Data Engineering · Data Modeling · Helm · Frontend Development · Backend Development · Agentic Workflows · Containerization · ServiceNow · Observability
About the role
Job Title: Full Stack AI Solution Developer (1308) Pay Rate: $65/hr-$72.46/hr on W2 (the pay rate may differ depending on your skills, education, experience, and other qualifications) Featured Benefits: Medical Insurance in compliance with the ACA 401(k) Sick leave in compliance with applicable state, federal, and local laws Duration: Up to 12 Months contract with possibility of extension Location: 100% Remote Role # of Positions: 1 Shift: 4/10-A Minimum Requirements: - 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 [contact hidden], 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, 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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