About the Role:
The Product Developer, Sr is responsible for designing, coding, testing and maintaining company products by participating in all phases of the development process. The person should having hands-on experience in AI/ML frameworks. The Product Developer, Sr works with other areas of the business to provide recommendations and mentors other team members.
What You Will Do:
- Design, develop, test to support product features independently.
- Participate in architecture and design reviews for the functionalities and production workflows.
- Build and maintain data pipelines, training pipelines
- Create tooling and automation that support model lifecycle, CI/CD process
- Drive best practices for reproducibility, testing, and model governance.
- Mentor and train other developers on AI concepts, tools.
- Produce estimates for AI-related work and deliver on time with high quality.
- Design, develop, test, and should be capable of deploying AI/ML models and services to support product features.
What You Will Need to Succeed:
- Expertise in applied AI/ML models; strong practical experience with model development, evaluation, and deployment.
- Proficiency in C# .Net and AI/ML frameworks
- Proficient in Angular and Typescript, HTML
- Expertise in SQL & Oracle databases.
- Solid software engineering skills: unit/integration testing, code review, refactoring, and design patterns.
- Strong analytical thinking and complex problem‑solving ability.
- Attention to detail and commitment to high code quality and observability.
- Mentorship skills and experience delivering formal/informal training.
- Ability and enthusiasm to learn new technologies and industry domains quickly.
Qualifications:
- 5+ years of applicable software engineering experience with demonstrated success.
- 2+ years of specialized experience in machine learning or AI engineering.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- Demonstrated track record of shipping AI/ML features to production.
Preferred:
- Experience with cloud platforms (AWS/GCP/Azure) and related managed ML services.
- Background in AI ethics, model fairness, or explainability.
- Familiarity with domain-specific challenges for our products (e.g., manufacturing / process automation).
- Good to have knowledge on RestAPI, Microfocus Cobol and JavaScript.
#LI-SH1 #Hybrid
About Epicor
At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
We’re Proactive, Proud, Partners.
Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.
Competitive Pay & Benefits
Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
Global Mobility: Comprehensive support for international relocations and permanent residency processes.
Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless.
We are an equal-opportunity employer.
Recruiter:
Shweta HalyalSkills Required
- 5+ years of applicable software engineering experience
- 2+ years of specialized machine learning or AI engineering experience
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Demonstrated success shipping AI/ML features to production
- Applied AI/ML model development, evaluation, and deployment experience
- Proficiency in C# and .NET
- Proficiency in Angular, TypeScript, and HTML
- Expertise with SQL and Oracle databases
- Software engineering experience including unit and integration testing, code review, refactoring, and design patterns
- Mentorship and formal or informal training experience
- Experience with cloud platforms and managed machine learning services
- Background in AI ethics, model fairness, or explainability
- Experience with manufacturing or process automation domains
- Knowledge of REST APIs, Micro Focus COBOL, and JavaScript
Epicor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Epicor and has not been reviewed or approved by Epicor.
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Healthcare Strength — Health coverage (medical, dental, vision) is characterized as decent to solid, complemented by wellness resources. Company materials highlight health and wellness programming alongside core plans.
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Leave & Time Off Breadth — Flexible or unlimited PTO exists in U.S. roles, and the organization emphasizes taking time to recharge. When team norms support it, the flexibility is considered a meaningful perk.
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Retirement Support — A 401(k) with company match is available as part of the standard offering. The match level is generally viewed as modest but serviceable.
Epicor Insights
What We Do
We’re the Digital Brains of Our Customers’ Operations We help businesses stay future-ready with cognitive ERP that connects people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
Why Work With Us
Our policies are built on mutual trust, support, and a commitment to maintaining a healthy work-life balance. That's why we encourage you to take the time off you need to rest, recharge, and reconnect.
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