AI Engineer (PDLC/Agentic AI)

Tasks

• Design and develop agentic AI applications using Claude Agent SDK, OpenAI Agents SDK, and LangGraph.
• Build and integrate MCP servers and tools connecting AI agents with internal systems and APIs.
• Develop reusable skills, plugins, and extensions for Claude Code, Cursor, and GitHub Copilot.
• Leverage AI coding assistants for development, testing, documentation, and code reviews.
• Deploy, monitor, and scale AI applications on AWS.
• Implement Infrastructure as Code using Terraform and Helm.
• Identify and automate PDLC workflows using AI solutions.

Requirements

• 10–12 Years
• Only H1B Candidates, GC, GC-EAD, OPT, and CPT candidates are not eligible.
• Don't submit Junior profiles and after 1992 Born Linkedin must be created in 2017 or before that.
• Strong hands-on Python development experience.
• Agent SDKs, MCP servers, and tool/function calling.
• Extensive experience using Claude, Cursor, and/or GitHub Copilot.
• Building custom AI coding assistant skills, plugins, and extensions.
• AWS services: EKS, S3, and IAM.
• Terraform, Helm, Docker, and CI/CD pipelines.
• Agentic AI application development and deployment.
• Good to Have: .NET / C#, Angular, LLM Evaluation, Observability, and Guardrails, Prompt Engineering and RAG

Schedule

• Hybrid
• C2C

How to apply

• Share your updated resume and LinkedIn profile by email.

Location

• Austin, TX / Fort Mill, NC