AI DeveloperLocation: Fort Mill, SCDuration: Longterm ContractRole Summary: We are seeking a highly hands-on AI Developer who builds, integrates, and operationalizes AI solutions within enterprise engineering environments.This role is strongly execution-focused, requiring deep involvement in coding, implementation, integration, and adoption of AI capabilities across development teams. The ideal candidate actively contributes production-grade code, enables AI-driven workflows, and ensures measurable improvements in developer productivity and business outcomes.Key ResponsibilitiesDesign, develop, and implement end-to-end AI solutions from concept through production deployment.Actively contribute code, reusable components, and reference implementations alongside engineering teams.Develop and implement Model Context Protocol (MCP), model routing, orchestration, and lifecycle management for multi-model AI solutions.Build AI orchestration layers integrating models, tools, and services to enable scalable and reusable AI capabilities.Integrate AI solutions into existing engineering ecosystems, including Jenkins-based CI/CD pipelines.Embed AI workflows into standard SDLC practices to drive adoption across development teams.Track and report measurable outcomes such as developer productivity, quality improvements, and operational efficiency.Collaborate closely with Product, Engineering, Platform, and DevOps teams to ensure secure, compliant, and scalable AI implementations.Mandatory SkillsStrong hands-on experience with Python and JavaTypeScript Experience with GitHub Copilot, Playwright, or Cursor.AIGood-to-Have SkillsAWS, Terraform, or similar Infrastructure-as-Code toolsAmazon Bedrock (Claude), SageMaker, KendraAgentic frameworks, MCPRequired QualificationsProven experience as an AI Developer or Senior AI Engineer delivering enterprise-scale AI solutions. Strong hands-on development experience in Python and Java. Demonstrated ability to build and implement production-ready AI solutions beyond prototypes or PoCs.
Experience developing model orchestration, routing, and control frameworks (MCP).
Experience integrating AI solutions with CI/CD tools such as Jenkins. Solid understanding of software engineering best practices, SDLC, and DevOps. Ability to translate high-level AI use cases into working code and actionable implementations for engineering teams.