(Senior) AI Solutions Engineer

Aktor AI·Remote(Anywhere in the World)·Work From Anywhere
Sales

WFA Digital Insight

The demand for AI solutions engineers has skyrocketed in recent years, with a 25% increase in job postings in 2025 alone. As the frontier of AI-augmented software development continues to evolve, companies like Aktor AI are looking for skilled engineers who can design, build, and ship production AI agents. With a strong focus on engineering judgment and quality standards, this role stands out in the current remote job market. Candidates should be prepared to showcase their ability to work with AI coding assistants and autonomous agent tooling, and demonstrate a deep understanding of what makes a well-structured, maintainable system.

Job Description

About the Role

Aktor AI is seeking a (Senior) AI Solutions Engineer to join their AI engineering team remotely. This is a hands-on engineering role that involves designing, building, and shipping production AI agents.

Responsibilities

  • Build and ship AI agents end-to-end: from scoping and prototyping through optimisation and production rollout.
  • Architect for reliability: design observability, logging, guardrails, evaluation pipelines, cost controls, and human-in-the-loop flows.
  • Integrate with enterprise systems: build connectors and retrieval pipelines to data stores, APIs, and line-of-business applications.
  • Review and elevate: review AI-generated code and designs with a critical eye. Challenge what doesn’t meet the bar, accept what does.
  • Own quality: write and maintain evaluation datasets, define accuracy targets, and treat failure modes as first-class engineering concerns.
  • Document clearly: produce designs, runbooks, and technical documentation that others can follow.

How to Stand Out

  • Be prepared to showcase your experience working with AI coding assistants and autonomous agent tooling.
  • Highlight your ability to make sound architectural decisions and maintain quality standards in your portfolio.
  • Familiarize yourself with the company's technology stack and be ready to discuss how you can contribute to it.
  • Practice articulating your thought process and design decisions, as this will be a key aspect of the interview process.
  • Be prepared to discuss your experience with integrating AI solutions with enterprise systems and how you handled any challenges that arose.

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