Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details
Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Finaventures

Full-Stack Engineer - AI Agents & Automation

Career Insights for Automation Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Arizona data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

An Automation Engineer develops and implements testing strategies and toolsets with the goal of increasing process automation. Establishes appropriate measures to validate and report on software quality. Designs and implements test automation to improve system reliability and stability. Designs and supports frameworks for test infrastructure. Provides automation expertise and mentoring.

$125,035 / year median in Arizona

-2% projected decline

Explore Career

Job Description

Full-Stack Engineer

  • AI Agents & Automation at Finaventures Full-Stack Engineer
  • AI Agents & Automation at Finaventures in
PARADISE

VALLEY, Arizona Posted in about 22 hours ago.

Type:

full-time 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