Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design and build AI agents and workflows using the Claude Agent SDK, Python or TypeScript, tool calling, MCP integrations, and API orchestration, then deploy and manage them on Amazon Bedrock AgentCore Runtime. Build GitHub Actions CI/CD pipelines, configure AWS infrastructure and security, and monitor, troubleshoot, and optimize production agent performance.
Job details
GenAI DevOps Engineer /AI Engineer who has experience building AI agents and deploying them into production on AWS. The role combines AI agent development (60%) and DevOps/CI/CD engineering (40%). Job Description – AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions) Experience: 6–10 years overall, including hands-on GenAI or agentic AI development. Key responsibilities • Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK). • Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration. • Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime. • Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments. • Configure AWS IAM, ECR, Docker/container packaging where applicable, and cloud security. • Monitor, troubleshoot, and optimize production AI agent performance. • Implement secure authentication, logging, monitoring, and observability. Required skills Claude Agent SDK Amazon Bedrock AgentCore Runtime Github actions Python or typescript AWS bedrock Docker, ECR , AWA, IAM Terraform AWA CDK Cloud watch, security monitoring
What you’ll do
Design and build AI agents and workflows using the Claude Agent SDK, Python or TypeScript, tool calling, MCP integrations, and API orchestration, then deploy and manage them on Amazon Bedrock AgentCore Runtime. Build GitHub Actions CI/CD pipelines, configure AWS infrastructure and security, and monitor, troubleshoot, and optimize production agent performance.
Requirements
The role requires 6–10 years of overall experience, including hands-on experience developing generative AI or agentic AI solutions. Relevant skills include the Claude Agent SDK, Amazon Bedrock AgentCore Runtime, GitHub Actions, Python or TypeScript, AWS services, Docker, ECR, IAM, Terraform or AWS CDK, and monitoring and security practices.
Listed skills
- CI/CD · Preferred
- Docker · Preferred
- TypeScript · Preferred
- Terraform · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Claude Agent SDK
- Amazon Bedrock AgentCore Runtime
- GitHub Actions
- Python
- TypeScript
- AWS Bedrock
- Docker
- Amazon ECR
- AWS IAM
- Terraform
- AWS CDK
- Amazon CloudWatch
- MCP Integrations
- CI/CD
- AI Agent Development
- Cloud Security
Job areas
- Technology
- Software
- Engineering
- Data & Analytics