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# AI Software Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, Data Security, Information Extraction, Python (Programming Language), Node.Js, Software Product Management, Rapid Prototyping Process, Software Deployment, Software Engineering, TypeScript, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Information Technology, Virtual Agents, Api Design, Docker
- **Published:** September 24, 2026
- **Apply:** https://dejobs.org/x/x/15A0D74A3B634C6AB9B7D25EF04B437E/job/

## About the Role

* 5 to 8+ years of experience in Software Engineering, AI/ML, or related domains, with a Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
 * Strong proficiency in Python with proven experience building and delivering AI-powered products end to end, from concept through to production deployment
 * Hands-on experience with Large Language Models, Retrieval-Augmented Generation, information extraction, document understanding, classification models, and agentic AI workflow design
 * Solid foundation in cloud platforms, containerization using Docker, CI/CD pipelines, monitoring, observability, and secure data handling within production-grade environments
 * Experience with API design, system design, full-stack application development, and working knowledge of TypeScript or Node.js as a complementary skill
 * Strong analytical, problem-solving, and communication skills, with the ability to clearly articulate complex AI concepts and trade-offs to non-technical business stakeholders

## Description

* Design, develop, and deploy production-grade Agentic AI solutions that automate complex insurance workflows, reducing turnaround times and increasing operational productivity
 * Build AI-powered applications leveraging LLMs, RAG, document processing, information extraction, classification, and agent-based architectures at enterprise scale
 * Own the end-to-end AI product lifecycle, from ideation and rapid prototyping through to deployment, monitoring, and continuous performance improvement
 * Develop robust AI evaluation frameworks encompassing testing, monitoring, performance measurement, and hallucination detection to ensure production-level reliability
 * Collaborate directly with brokers, underwriters, and operations teams to identify high-impact AI adoption opportunities and translate business challenges into scalable solutions
 * Mentor engineers, champion modern AI development best practices, and research emerging technologies to continuously advance the intelligence of the platform


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