Aktor AI: (Senior) AI Solutions Engineer

Introduction

Aktor AI is on the lookout for a Senior AI Solutions Engineer who will play a vital role in their AI engineering team, leveraging cutting-edge technologies to build, harden, and scale AI agents. This full-time position offers an innovative environment focused on AI-augmented software development and is open to candidates anywhere in the world, particularly in Europe or Asia.

The Role

The primary responsibilities for the Senior AI Solutions Engineer encompass designing, building, and deploying production-level AI agents. The approach to this role departs from traditional software development techniques as it heavily features the use of AI coding assistants and autonomous agent tooling. Consequently, emphasis is placed on architectural decision-making, maintaining quality standards, and guiding AI-generated outputs towards well-structured, maintainable systems.

In contrast to typical engineering roles that prioritize writing code, this position calls for a strategic mindset that prioritizes reviewing, thinking, and decision-making processes more than actual coding tasks. Despite the reliance on AI tools, strong engineering fundamentals remain crucial. An effective engineer in this era needs to discern inaccuracies in AI outputs and articulate the reasoning behind such evaluations.

Key Responsibilities

The main tasks associated with this role are:

• Build and ship AI agents from start to finish, focusing on scoping, prototyping, optimizing, and rolling out into production.

• Architect systems for reliability by designing elements including observability, logging, guardrails, and evaluation pipelines while also implementing cost control features.

• Integrate with existing enterprise systems to establish connections and create retrieval pipelines for various data stores, APIs, and applications.

• Review and elevate AI-generated outputs by applying a critical lens. The engineer is expected to challenge subpar work and uphold standards.

• Own and enhance quality through writing evaluation datasets, defining accuracy targets, and treating failures as part of the core engineering process.

• Document designs and processes clearly to ensure others can follow and understand the work completed.

Skills and Experience Required

Aktor AI values engineering judgment over specific stack knowledge. Consequently, they are looking for candidates with:

• A strong foundation in software engineering, including an understanding of how systems are constructed and potential failure points.

• Experience with large language model (LLM)-based systems in production contexts, which could include agents, automation, or orchestration.

• A product-minded approach, where you consider both the functionality and the intent behind what you're building.

• An ability to assess system designs, whether written by developers or AI, to determine fitness for purpose.

• Comfort navigating ambiguity common in AI systems that do not behave in predictable ways.

  

Role Seniority Levels

The role can fall into two levels:

• Engineer: Typically requires 2-5 years of experience, with ideally 1+ years in AI systems. Responsibilities include shipping features independently and implementing evaluation datasets.

• Senior Engineer: Requires 6-10+ years of experience, focusing on leading end-to-end implementations and making significant architectural decisions.

Preferred Qualifications

While not mandatory, the following skills may enhance a candidate's profile:

• Familiarity with agent orchestration frameworks, vector or graph databases, and familiarity with platforms like Azure.

• Experience with databases such as Postgres and Redis, as well as tracing and observability tools.

Professional Qualities

Aktor AI seeks professionals who demonstrate high ownership and a proactive work ethic. Additional desired traits include:

• A pragmatic approach that chooses the simplest solution to effectively address challenges without overselling or resorting to shortcuts.

• Reliability as a mindset, treating evaluation and failure management as essential parts of engineering work.

• Strong communication skills to articulate decisions and technical trade-offs plainly.

• A self-driven attitude that allows for efficient time management and the ability to monitor ongoing projects without external prompts.

What Aktor AI Offers

Aktor AI provides a competitive compensation package along with benefits tailored to employee well-being. Highlights include:

• The chance to work on impactful production-level AI agents.

• A chance to work within a modern, AI-native engineering environment utilizing state-of-the-art technologies daily.

• Autonomy in shaping engineering practices and standards as well as opportunities for significant career growth with visibility among executive leaders.

Hiring Process

Aktor AI employs a structured hiring process, consisting of:

1. Initial Interview: A conversation focused on the candidate's experience and motivations.

2. Collaborative Project: Engaging in a real-time project with other candidates over approximately two weeks, allowing for flexibility in fitting it into personal schedules. Cash prizes may be awarded for top contributions.

3. Final Interview: A dialogue with key leadership, including the CEO and Head of Solution Delivery.

The hiring process integrates AI-assisted tools for initial screening and features an AI-driven interview stage, ensuring decisions are guided by human expertise.

Conclusion

As the demand for AI potency increases, the opportunity to join Aktor AI as a Senior AI Solutions Engineer provides a unique blend of challenges and rewards. Candidates who are innovative thinkers with a robust engineering background stand to thrive in this progressive venture.

This job offer was originally published on weworkremotely.com