Artificial Intelligence Engineer

How You’ll Make an Impact As an AI Engineer, you will play a critical role in building and scaling AI-powered capabilities that directly influence Epsilon’s products, platforms, and client outcomes. You will work alongside product managers, platform engineers, and data teams to translate complex business problems into production-ready AI systems. Responsibilities Design, develop, and deploy machine learning and AI models that are reliable, scalable, and production-ready Contribute to the development of generative AI and LLM-based solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning Build and operate AI systems end-to-end, from experimentation and evaluation through deployment, monitoring, and iteration Collaborate with cross-functional partners to embed AI capabilities into customer-facing products and internal platforms Improve model performance, cost efficiency, and reliability through experimentation, tuning, and observability Help establish and evolve best practices for AI engineering, MLOps, and responsible AI within the organization Grow technically through exposure to modern AI frameworks, cloud-based ML platforms, and real-world enterprise use cases Qualifications What You’ll Bring With You 4+ years of experience building machine learning or AI-driven systems in real-world production environments Strong foundations in machine learning, statistics, data structures, and software engineering Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX Proficiency in Python and experience applying production-grade engineering practices Familiarity with cloud environments (AWS, Azure, or GCP) and deploying services at scale Ability to work across the full AI lifecycle—from data exploration and modeling to deployment and monitoring Strong problem-solving skills and comfort operating in ambiguous or evolving problem spaces Why You Might Stand Out From Other Talent Experience working with large language models (LLMs), generative AI systems, or agent-based architectures Exposure to RAG pipelines, evaluation frameworks, or fine-tuning foundation models Familiarity with MLOps tooling, CI/CD pipelines, model monitoring, or feature stores Experience collaborating closely with product and platform teams on customer-facing AI features MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience) Compensation Base Salary: $73,500.00 - $136,500.00 per year. Benefits Flexible time off (FTO), 15 paid holidays Paid sick time Parental/new child leave, childcare & elder care assistance, adoption assistance Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Legal and Equal Opportunity Statements Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on race, age, sex, gender, marital status, national origin, ancestry, citizenship status, disability, religion, creed, color, sexual orientation, gender identity or expression, veteran status, genetic information, or any other characteristic protected by applicable law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to View email address on click.appcast.io to request an accommodation. For San Francisco Bay and Los Angeles areas: Epsilon will consider applicants with criminal histories in a manner consistent with local Fair Chance Ordinances. Applicants with criminal histories are welcome to apply. #J-18808-Ljbffr Epsilon