Artificial Intelligence Engineer

Job Title: AI Developer

Skills: AI Architect, Model Context Protocol (MCP), AWS Terraform, Amazon Bedrock (Claude), SageMaker, and Kendra, Agentic framework

Experience: 10+ Years

Location: Fort mill, SC (Onsite 3 days)

Job Type: Full Time

We at Coforge are hiring for AI Developer with the following skills: • 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. • Design, 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. • Strong hands-on experience with Python and Java TypeScript Experience with GitHub Copilot, Playwright, or Cursor. • AI Good-to-Have Skills AWS, Terraform, or similar Infrastructure-as-Code tools Amazon Bedrock (Claude), SageMaker, Kendra Agentic frameworks, MCP Required Qualifications Proven 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.