AI Software Engineer

Insight Global
Cincinnati, OH, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Cloud Computing Identity and Access Management Python (Programming Language) Software Engineering Systems Integration TypeScript Large Language Models Agentic-AI
+6 more
AI Platforms Claude Virtual Agents Model Context Protocol Terraform GPT

Job description

Insight Global is seeking an AI Software Engineer for one of our largest clients based in the Cincinnati area. The ideal candidate is able to go onsite at either our Farmington Hills, Michigan (outside of Detroit) or Cincinnati, Ohio location (4-5x/week).

This role is will be critical in helping to build infrastructure supporting AI agents and contribute to future agent development work across the enterprise.

Key Responsibilities: * Build and support AWS infrastructure for the AI platform. * Provision and manage cloud resources using Terraform. * Support processes for agent onboarding, authorization, and access management. * Build integrations between applications and cloud infrastructure (e.g., S3, permissions, access controls). * Assist with implementation of agentic AI capabilities and future AI agent projects. * Collaborate with the team responsible for AI platform expansion from MVP to broader enterprise adoption

Requirements

  • 5-8+ years of experience within IT * Software Engineering with TypeScript/ JavaScript AND/OR Python * Infrastructure engineering experience, including: * Cloud resource provisioning * Application-to-infrastructure integrations * Storage/services such as S3 * Access management and permissions * Understanding how applications consume infrastructure components * Supporting platform-level deployments in AWS * AWS * Terraform * Experience using AI tools (GPT, Claude, etc.) as a practitioner/user * Banking or finance industry background * AWS Bedrock. * LLM Guardrails / AWS Guardrails. * AI Gateway experience. * MCP (Model Context Protocol) server development. * Experience building agents or agent workflows.

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