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# AI Software Developer

- **Company:** Aquent
- **Location:** Ann Arbor, MI, United States
- **Salary:** $135,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Performance Tuning, Software Systems, SQL Databases, Data Streaming, Deep Learning, Machine Learning Operations, Software Version Control, Microservices
- **Published:** October 5, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3005093725-2

## About the Role

* Python
 * Machine learning
 * Deep learning frameworks (Tensor
 * Flow/Py
 * Torch)
 * NLP or computer vision
 * Data engineering (ETL, pipelines)
 * Cloud platforms (AWS/Azure/GCP)
 * APIs and microservices
 * MLOps/CI-CD for MLSQL and No
 * SQL databases
 * Version control (Git)

## Description

Aquent Talent seeks an AI Software Developer to build intelligent solutions that power creative, marketing, and digital experiences for global brands. In this role, you'll design and deploy production-ready ML models, integrate AI services into client platforms, and collaborate with cross-functional teams to solve complex problems. You'll work in a people-first, inclusive, and flexible environment that values experimentation, continuous learning, and knowledge sharing while shaping innovative talent and workforce solutions worldwide., * Design, build, and deploy AI-driven software solutions for creative, marketing, and digital clients

 * Develop, train, and optimize machine learning models and pipelines for production use
 * Collaborate with cross-functional teams to translate client needs into scalable AI features
 * Integrate AI services and APIs into existing platforms and workflows
 * Implement testing, monitoring, and performance tuning for AI applications
 * Document models, services, and data flows for maintainability and knowledge sharing
 * Contribute to architecture decisions, code reviews, and best practices for AI development
 * Stay current with AI/ML advancements and propose innovative solutions for client projects