We are looking for a Principal Software Engineer to join a small, highly experienced Epicor Labs team that transforms innovative AI concepts into enterprise-grade products trusted by enterprise customers.

This is a hands-on engineering role, not a management position. You will design and build, set the technical bar for production quality, and provide the architectural judgement needed to take AI-driven products from promising prototype to something enterprise customers can trust with their business data.

What you'll do

As a Principal Engineer, you'll play a key role in designing and delivering the next generation of AI capabilities across Epicor's ERP portfolio.

• PoCs and MVPs in AI transformation projects inside enterprise ERP software - rapid exploration of new capabilities, with the engineering discipline to evolve the successful ones into production-grade services.

• Cloud platform services - designing and building the services, APIs, and data layers that new AI capabilities run on, integrating with large, established ERP products.

• Production readiness - bringing R&D output up to enterprise standard: reliability, observability, security, multi-tenancy, and safe failure behaviour.

• AI engineering - integrating LLMs and agentic patterns into business software responsibly: guardrails, permissions, auditability, and designing for the probabilistic nature of AI components acting on real business data.

• Raising the bar - architectural review across the team's workstreams, mentoring engineers at all levels, and turning good judgement into standards and automation rather than tribal knowledge.

What you are likely to bring:

• Principal-level engineering depth in C#/.NET and/or Python, with cloud platforms (Azure preferred), and a strong record of designing and shipping production services. Our systems span both stacks - strength in one with working fluency in the other is the expectation.

• Production TypeScript/JavaScript frontend engineering experience, including building secure, accessible user interfaces that integrate with enterprise web shells, APIs and backend services.

• Experience designing and integrating enterprise information systems, with a strong understanding of data flows, system boundaries and the operational impact of change.

• Ability to work effectively with data scientists and other AI specialists to turn data, models and experimentation into reliable, usable product capabilities.

• Production ownership experience - you have run systems in production and carry the instincts that come from it: partial failure, resilience, blast-radius thinking, and designing for the incident nobody planned. This matters to us more than any specific framework.

• Distributed-systems fluency: service boundaries, transactional thinking, multi-tenant design, API design and versioning.

• Strong architectural communication - able to explain, document, and defend design decisions across teams, and to review others' designs constructively.

• Pragmatism under real-world constraints: comfortable integrating with large, long-lived enterprise systems and choosing the achievable-good over the theoretical-perfect.

Highly desirable:

• Hands-on exposure to AI-assisted engineering - building with LLM APIs, agentic coding tools, and prompt-driven workflows, and a grounded view of where they help and where they don't.

• Experience taking early-stage products (PoC/MVP) to production, ideally in enterprise software.

• AWS experience.

• Complex business-domain experience - ERP, e-commerce, finance, logistics - and an appreciation of the cost of getting business data wrong.

• Security instincts: least privilege, tenancy isolation, trust boundaries.

What success looks like

Within your first 3 months, you'll:

• Deliver production-quality code

• Own components from design through implementation

• Contribute architectural improvements across the team

Within 6–12 months, you'll:

• Lead the design of major platform capabilities

• Become a trusted technical leader and architectural reference point

• Mentor engineers and help raise engineering standards across Epicor Labs

About Epicor Labs:

Epicor Labs is the innovation engine behind AI transformation across Epicor's ERP portfolio.

Our team explores new ideas, rapidly prototypes solutions, and turns successful concepts into production-ready capabilities before handing them over to product engineering teams.

We're a small, senior team with:

• High autonomy

• Minimal bureaucracy

• Fast decision-making

• Strong engineering standards

• A collaborative culture where the best ideas win, regardless of title

You'll work alongside experienced architects, product managers, UX designers, and AI specialists to solve challenging technical problems with real customer impact.

Technology:

• C# / .NET

• Python

• Azure

• TypeScript / JavaScript

• REST & GraphQL APIs

• Relational & document databases

• GitHub with CI/CD pipelines

• LLM APIs

• AI-assisted development tools

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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.

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