AI Engineer

Ovative Group

AI Engineer at Ovative Group building and maintaining technical infrastructure integrating AI with enterprise tools. Collaborating across teams to implement automated workflows and integrations.

Posted 6/13/2026full-timeMinneapolis • Illinois, Minnesota, New York • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $132,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build and maintain integrations connecting our enterprise AI platform to the tools and data sources the organization works in — project management, communications, analytics, and others
Implement multi-step automated workflows following the orchestration patterns and technical standards established for the program
Maintain the system write-back layer: build and sustain the logic that routes outputs, updates task statuses, and writes results back into the operational systems people already use — this is core to how the system closes the loop
Serve as a technical resource for domain experts and practitioners when builds go beyond what they can execute independently; help teams scope what is and is not feasible within the current infrastructure
Participate in review processes for new agents or automated workflows before organization-wide deployment
Troubleshoot integration issues and maintain reliability across the integration layer
Contribute to post-deployment monitoring and observability — flag when workflows behave unexpectedly in production, identify failure patterns, and escalate or resolve as appropriate
Apply security requirements consistently across all builds: access controls, credential management, audit logging, and principle of least privilege — particularly in integrations that touch operational systems across the organization
Contribute to technical documentation and training content that helps the organization build more independently over time

Requirements

What you’ll need

4+ years of experience in software engineering, platform engineering, or applied technical roles
Demonstrated experience building and maintaining integrations, automation workflows, or AI-powered tools in a production environment
Strong proficiency in Python and SQL, with experience writing production-quality code
Experience building API integrations or connecting enterprise SaaS platforms through standard integration patterns, including write-back and bidirectional data flows
Familiarity with cloud platforms (AWS, GCP, or Azure); experience with Databricks is strongly preferred
Demonstrated hands-on experience working with large language models in production: context windows, prompt structure, tool use, and agent behavior
Practical experience applying security requirements in production systems: access controls, credential management, audit logging, and principle of least privilege
Familiarity with CI/CD practices and how changes move safely from development to production
Familiarity with MCP (Model Context Protocol) or similar tool-use and agent orchestration frameworks; comfort with how agents call tools, manage context, and execute multi-step workflows
Comfort operating in an environment where requirements evolve; you can make progress and flag blockers without waiting for a complete spec
Ability to work effectively across technical and non-technical teammates — you can explain what you built and why it matters to someone who has never written code.

Benefits

Comp & perks

Generous paid vacation policy
401k match program
Top-notch health insurance options, inclusive of same sex partners
Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs
Monthly stipend for your mobile phone and data plan
Sabbatical program
Charitable giving via our time and a financial match program
Access to all office spaces in MSP, NYC, and CHI
Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLAPI integrationsautomation workflowslarge language modelssecurity requirementsCI/CD practicesMCP (Model Context Protocol)production-quality codebidirectional data flows

Soft Skills

communicationproblem-solvingcollaborationadaptabilitytechnical documentationtraining content developmentcross-functional teamworktroubleshootingmonitoringobservability