Full-Stack Engineer -- AI Agents & Automation
Job Description
About the role
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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.
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What you'll do
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• Build and maintain AI-powered features and agentic automations across our products and internal operations.
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• Take day-to-day ownership of one or more of our AI systems — improving quality, expanding capabilities, and keeping them reliable.
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• Work across the stack — backend services and the interfaces and integrations around them — to ship complete features, not just prototypes.
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• Build the evaluation and testing that keep AI systems trustworthy: measuring quality, catching regressions, and enforcing safe, accurate output.
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• Integrate LLMs with our data and tools through retrieval, tool/function calling, and well-structured pipelines.
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• Help make our AI tooling documented, tested, and maintainable — so critical systems don’t depend on any one person.
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Where you’ll make an impact early
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• Owning the quality and release cadence of a live AI system.
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• Shipping a new AI-powered feature or automation end to end.
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• Strengthening how we evaluate and safeguard AI output.
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What we're looking for
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• 2–4 years of professional software engineering, comfortable across the stack (strong backend, capable on the frontend).
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• Hands-on experience building with large language models — you’ve shipped something real with them, not just experimented.
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• Solid engineering fundamentals: you write tested, maintainable code and think about correctness and edge cases.
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• Curiosity and product sense for where AI genuinely helps — and where it doesn’t.
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• Clear communication and comfort working closely with a technical lead.
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Nice to have
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• Experience with agent frameworks, tool/function calling, or multi-step agentic workflows.
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• Retrieval-augmented generation (RAG), embeddings, and vector/keyword search.
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• C#/.NET (our primary backend) and/or a major LLM platform (Azure OpenAI or equivalent).
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• Evaluation, guardrails, or compliance-sensitive AI experience.
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• Data / business-intelligence exposure.
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Team: EHMA — the technology arm of Everpower
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Reports to: Director of Engineering
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Location: Tempe, AZ - Onsite (No Remote, No Hybrid, No WFH)
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Type: Full-time
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Compensation: $110,000–$130,000 base, depending on experience, plus benefits