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# Senior AI Engineer in Mundelein

- **Company:** Energy Jobline
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Salary:** $115,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Automation of Tests, Big Data, BigQuery, Cloud Computing, Software Quality, Computer Programming, Continuous Integration, Data Cleansing, Distributed Systems, Data Flow Control, Monitoring of Systems, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Cloudera, Software Construction, Software Deployment, Software Engineering, Systems Integration, Feature Store, Google Cloud, Pytorch, LangChain, System Availability, Prompt Engineering, Software Security, Model Validation, Generative AI, Agentic-AI, Event Driven Architecture, Containerization, Scikit Learn, Low Latency, Machine Learning Operations, Restful APIs, Software Version Control, Apache Beam, Docker, Microservices
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/senior-ai-engineer-mundelein-31827576

## About the Role

We are seeking a hands-on Senior AI Engineer to design, build, and deploy production-grade artificial intelligence solutions. The ideal candidate combines strong software engineering fundamentals with practical experience developing, integrating, and operating AI systems at scale.

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This role requires deep proficiency in Java and Python, experience with Google Cloud Platform (GCP), and a proven track record of taking AI and machine learning capabilities from concept through production. You will work closely with product managers, data scientists, software engineers, and business stakeholders to deliver reliable, scalable, and measurable AI solutions., * 7-10 years of professional software engineering experience, including substantial experience delivering AI or machine learning solutions.
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 * Strong hands-on programming experience with Java and Python.
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 * Proven experience building and operating production AI/ML systems, not only research or proof-of-concept applications.
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 * Strong experience with Google Cloud Platform, including cloud- application development, deployment, monitoring, and security.
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 * Experience designing and developing RESTful APIs, microservices, distributed systems, and event-driven architectures.
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 * Solid understanding of machine learning concepts, model lifecycle management, data preparation, evaluation, and inference.
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 * Experience with software engineering best practices, including: Automated testing, CI/CD ,Version control, Code quality and review, Containerization, Monitoring and observability
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 * Experience deploying applications with Docker and Kubernetes or GKE.
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 * Strong understanding of application security, scalability, reliability, and performance optimization.
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 * Ability to translate ambiguous business or product requirements into practical technical solutions.
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 * Excellent communication, collaboration, and problem-solving skills.
\n, * Experience with Vertex AI, generative AI, large models, prompt engineering, retrieval-augmented , vector databases, or AI agents.
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 * Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, LangChain, or equivalent technologies.
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 * Familiarity with MLOps platforms, model registries, feature stores, and automated model evaluation.
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 * Experience with BigQuery, Apache Beam, Dataflow, Dataproc, or other large-scale data processing technologies.
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 * Knowledge of responsible AI, model governance, privacy, explainability, and bias mitigation.
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 * Experience building enterprise AI applications with high availability and strict latency or security requirements.
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 * Relevant Google Cloud or machine learning certifications.
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