Generative AI Engineer

Software Technology Inc.; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Software Technology Inc. is seeking a domain expert to translate business questions into actionable analyses and deliverables. You will design and deploy agentic AI systems on AWS Bedrock to automate analyses and provide self-serve insights for stakeholders.

You will architect multi-agent workflows with MCP, implement infra as code using AWS CDK and TypeScript, and uphold clean, production-grade Python practices across all tooling and analyses.

Qualifications

• Translate ambiguous business questions into clear, actionable analyses and metrics.
• Design, build and deploy agentic AI systems on AWS Bedrock infrastructure.
• Follow disciplined Python coding practices across analyses and tooling.
• Architect multi-agent workflows using MCP for tool use and inter-agent communication.

Responsibilities

• Become a domain expert in the company's operations and platform data.
• Translate ambiguous business questions into clear, actionable analyses and metrics.
• Design, build, and deploy agentic AI systems using AWS Bedrock AgentCore.
• Bring hands-on agentic AI design experience with architecture and deployment on AWS.
• Follow clean architecture, testability, and production-grade engineering rigor.
• Use infrastructure-as-code (AWS CDK, TypeScript) to deploy infrastructure.
• Produce ad-hoc analyses and reports to help teams make time-sensitive decisions.
• Communicate findings clearly to technical and non-technical partners.

Skills

Python

AWS Bedrock AgentCore

MCP (Model Context Protocol)

Agent workflows

Clean architecture

Production-grade engineering

TypeScript

Tools

AWS Bedrock

AWS CDK

TypeScript

Job description

• Become a domain expert in the company's operations and platform data, developing a strong understanding of how the business operates and where value is created.
• Translate ambiguous business questions into clear, actionable analyses and solid deliverables; define metrics that measure operational effectiveness and performance.
• Design, build, and deploy agentic AI systems — using AWS Bedrock AgentCore and related orchestration tooling — that automate recurring analyses, accelerate data exploration, and give stakeholders self-serve access to insights.
• Bring hands-on agentic AI design and implementation experience, specifically architecting and deploying agent workflows on AWS and AWS Bedrock AgentCore infrastructure.
• Follow strong, disciplined Python coding practices — clean architecture, testability, modularity, and production-grade engineering rigor — across all analyses, tooling, and agent systems built.
• Architect and implement multi-agent workflows using MCP (Model Context Protocol) for tool use, context sharing, and inter-agent communication.
• Use infrastructure-as-code (AWS CDK, TypeScript) to deploy, version, and manage agentic AI infrastructure in a reliable, repeatable way.
• Produce ad-hoc analyses and reports that help teams make time-sensitive decisions with confidence.

Communicate findings clearly to both technical and non-technical partners; distill complex data and agent behavior into concise, actionable insights