Full-Stack Engineer — AI Agents & Automation

About the role

EHMA builds the software behind Everpower’s family of products. We’re looking for a full-stack engineer with a real knack for AI — someone who writes solid, production software and enjoys putting large language models and agentic systems to work on real problems. This is not a research role: we’re not looking for an AI PhD, we’re looking for a strong, versatile developer who is hands-on with LLMs and wants to own the AI-powered features and automations that are becoming core to how our business runs. You’ll work across the stack and across products, closely with our Director of Engineering.

What you'll do

• Build and maintain AI-powered features and agentic automations across our products and internal operations.

• Take day-to-day ownership of one or more of our AI systems — improving quality, expanding capabilities, and keeping them reliable.

• Work across the stack — backend services and the interfaces and integrations around them — to ship complete features, not just prototypes.

• Build the evaluation and testing that keep AI systems trustworthy: measuring quality, catching regressions, and enforcing safe, accurate output.

• Integrate LLMs with our data and tools through retrieval, tool/function calling, and well-structured pipelines.

• Help make our AI tooling documented, tested, and maintainable — so critical systems don’t depend on any one person.

Where you’ll make an impact early

• Owning the quality and release cadence of a live AI system.

• Shipping a new AI-powered feature or automation end to end.

• Strengthening how we evaluate and safeguard AI output.

What we're looking for

• 2–4 years of professional software engineering, comfortable across the stack (strong backend, capable on the frontend).

• Hands-on experience building with large language models — you’ve shipped something real with them, not just experimented.

• Solid engineering fundamentals: you write tested, maintainable code and think about correctness and edge cases.

• Curiosity and product sense for where AI genuinely helps — and where it doesn’t.

• Clear communication and comfort working closely with a technical lead.

Nice to have

• Experience with agent frameworks, tool/function calling, or multi-step agentic workflows.

• Retrieval-augmented generation (RAG), embeddings, and vector/keyword search.

• C#/.NET (our primary backend) and/or a major LLM platform (Azure OpenAI or equivalent).

• Evaluation, guardrails, or compliance-sensitive AI experience.

• Data / business-intelligence exposure.

Team: EHMA — the technology arm of Everpower

Reports to: Director of Engineering

Location: Tempe, AZ - Onsite (No Remote, No Hybrid, No WFH)

Type: Full-time

Compensation: $110,000–$130,000 base, depending on experience, plus benefits