Quick overview
Job description
About the Role
We are looking for a hands-on AI Engineer to build and deploy agentic AI solutions across the Product Development Lifecycle (PDLC). You will build AI agents, tool integrations, and developer-productivity extensions, and run them in production on AWS.
Key Responsibilities
- Design and build agentic AI applications using Agent SDKs (e.g., Claude Agent SDK, OpenAI Agents SDK, LangGraph)
- Build and integrate MCP (Model Context Protocol) servers and tools that connect agents to internal systems and APIs
- Create reusable skills, plugins, and extensions for AI coding assistants (Claude Code, Cursor, GitHub Copilot)
- Use AI coding tools daily to speed up development, testing, documentation, and code reviews
- Deploy, monitor, and scale agentic AI applications
- Write infrastructure as code with Terraform and Helm for repeatable deployments
- Work with product and engineering teams to find PDLC workflows that can be automated with AI
Required Skills
- Strong hands-on experience with Python
- Hands-on experience with Agent SDKs, tool/function calling, and MCP servers
- Extensive daily use of Claude, Cursor, and/or Copilot in development workflows
- Experience building skills, plugins, or custom extensions for AI coding tools
- Experience deploying AI applications to AWS
- Working knowledge of Terraform, Helm, Amazon EKS, Amazon S3, and AWS IAM
- Understanding of containerization (Docker) and CI/CD pipelines
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