Hiring for Senior AI Software Engineer (Agentic AI / AI Agents) | 10+ years of experience | USC

Technology Management Solutions LLC; Los Angeles (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Technology Management Solutions LLC seeks a Senior AI Software Engineer to architect and implement AI agents using Claude SDK and AWS Bedrock. You will develop agent workflows in Python/TypeScript and automate CI/CD with GitHub Actions.

You will also configure IAM and Docker packaging while monitoring performance and security. The role requires 10+ years of experience in GenAI or agentic AI development, with hands-on delivery across cloud environments.

Qualifications

• 10+ years of experience in AI software development, including agentic AI.
• Hands-on GenAI or agent development experience.
• Experience building and deploying AI agents in cloud environments.

Responsibilities

• Design, develop, and implement AI agents using Claude Agent SDK.
• Build agent workflows with Python or TypeScript and tool calling.
• Deploy agent workloads on AWS Bedrock AgentCore Runtime.
• Create CI/CD pipelines with GitHub Actions for agent builds and tests.
• Configure cloud security, IAM, and container packaging as needed.
• Monitor and optimize production AI agent performance; ensure observability.

Skills

GenAI/Agentic AI

Python

TypeScript

CI/CD

Cloud security

Observability

Tools

Claude Agent SDK

AWS Bedrock AgentCore

GitHub Actions

Docker

IAM

Job description

Hiring for Senior AI Software Engineer (Agentic AI / AI Agents) | 10+ years of experience | USC

• Contract

Job Description – AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions)

Duration: 3+ Months (Extension Possible)

Experience: 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.

All your information will be kept confidential according to EEO guidelines.