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# AI Engineer

- **Company:** The Search Ltd
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Systems, Software Quality, Computer Programming, Programming Tools, Monitoring of Systems, Python (Programming Language), Software Engineering, TypeScript, Unstructured Data, Data Logging, Retrieval-Augmented Generation, Model Validation, Kubernetes, Information Technology, Api Design, Automation Anywhere
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4207a66cea712f24

## About the Role

* Bachelor's degree in Computer Science, Engineering, Physics, or related STEM field, or equivalent experience
 * 5+ years of professional software engineering experience with demonstrated delivery of production systems
 * Strong programming expertise in Python and/or TypeScript including testing and API development
 * Proven experience building production-grade AI workflows utilizing tool-calling architectures
 * Experience working with multiple AI model providers and platforms
 * Demonstrated ability to convert unstructured data into structured, usable formats
 * Strong understanding of evaluating AI outputs and maintaining quality through testing and monitoring

Preferred Requirements:

 * Experience developing tool integration frameworks or connectors for AI systems
 * Familiarity with vector databases and retrieval-augmented generation systems
 * Experience with orchestration frameworks for AI workflows
 * General familiarity or interest in the relevant industry domain

## Description

This role is responsible for designing and deploying advanced AI-driven systems that automate complex business processes, with a strong emphasis on multi-step, tool-integrated workflows and production reliability.

 * Architect and develop multi-step AI workflows that coordinate planning, execution, validation, and retry logic
 * Integrate AI systems with internal platforms and external APIs to enable seamless automation
 * Optimize model selection and routing across multiple providers based on performance, cost, and latency
 * Transform unstructured data sources into structured, AI-ready formats including datasets, schemas, and embeddings
 * Develop and integrate tool-access frameworks to safely connect AI agents with business systems
 * Leverage modern AI-assisted development tools while maintaining strong engineering oversight and code quality
 * Establish monitoring systems including testing, logging, and tracing to ensure reliability and performance
 * Continuously evaluate emerging AI technologies and apply relevant advancements to improve systems


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