Collaborate on the development of LLM agents using Epicor Prism’s internal tools and frameworks.
Design prompts and workflows for summarization, classification, and retrieval tasks.
Run structured experiments, track performance, and iterate based on telemetry and feedback.
Contribute to prompt libraries, test sets, and reproducibility frameworks.
Support integration and deployment of AI agents into production systems.
Participate in customer site visits and 3-day engagements once or twice per quarter.
Engage in team reviews, documentation, and shared learning efforts across US and India-based teams.

Requirements

2–3 years’ experience in applied data science or machine learning roles, with exposure to LLM-powered applications.
Strong Python proficiency and comfort working with APIs and structured data.
Familiarity with agentic AI platforms such as Blanchain, Azure ML Studio, or AWS SageMaker.
Hands-on experience designing experiments, analyzing results, and versioning code and data.
Strong written communication skills and eagerness to learn from feedback.

Benefits

Comprehensive health and wellness benefits designed to support your overall well-being.
Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
Comprehensive support for international relocations and permanent residency processes.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Pythondata sciencemachine learningLLM applicationsAPIsstructured dataexperiment designdata analysisversion control

written communicationcollaborationfeedback responsivenessteam engagement