> Markdown version of [/jobs/ext/4623149-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4623149-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** LaStellar Group - **Location:** Mundelein, IL, United States - **Experience:** Experienced - **Salary:** $130,000 - $160,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Data Warehousing, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Redis, Tensorflow, Software Engineering, Feature Engineering, Pytorch, Spring-boot, Model Validation, Event Driven Architecture, Scikit Learn, Xgboost, Apache Kafka, Restful APIs, Unsupervised Learning, Web Api, Microservices - **Published:** November 7, 2026 - **Apply:** https://www.thejobnetwork.com/job/80bd136c-d3f5-405a-b8f7-28d51f4423f4/aiml-engineer ## About the Role * 2+ years professional software engineering with strong Java and Spring Boot \n * Experience with event-driven systems (Kafka), PostgreSQL, Redshift or equivalent data warehousing, Redis \n * Solid grasp of distributed systems, REST API design, microservices \n * 2+ years hands-on AI/ML development in Python - real model-building experience, not just API calls to a hosted model \n * Working knowledge of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering, hyperparameter tuning \n * Experience with scikit-learn, PyTorch, TensorFlow, or XGBoost ## Description This is a Java backend engineer who also owns the ML side - you're not handing models off to someone else to productionize, you're building the services, the pipelines, and the models yourself. You'll take AI solutions from concept through production in a real financial environment where reliability and explainability aren't optional. NYC-based (Manhattan), 4 days in-office, Friday remote.