Artificial Intelligence Engineer
Role details
Job location
Tech stack
Job description
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. This role offers the opportunity to work on high-impact initiatives including generative AI, agentic workflows, and intelligent automation, while contributing to Epsilon's broader goals of innovation, operational excellence, and data-driven decision making.
Responsibilities
What You'll Achieve
- 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
Requirements
- 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 Google Cloud Platform) 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)
Benefits & conditions
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to the following:
- Time to Recharge: Flexible time off (FTO), 15 paid holidays
- Time to Recover: Paid sick time
- Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance
- Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling
Epsilon benefits are subject to eligibility requirements and other terms.