Production-Ready AI Agent Engineer

Production-Ready AI Agent Engineer

Full-Time 81000 - 99000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design AI agent systems that reason over business contexts and build efficient workflows.
  • Company: Join oOlie AI, a forward-thinking company at the forefront of AI technology.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with talented teams and contribute to innovative projects.
  • Why this job: Make a real impact by developing cutting-edge AI solutions in a dynamic environment.
  • Qualifications: Experience in engineering and a passion for AI and problem-solving.

The predicted salary is between 81000 - 99000 £ per year.

oOlie AI is seeking an experienced engineer to design agent systems capable of reasoning over structured and unstructured business context. You will build workflows that orchestrate tool use, retrieval, memory, and handoffs, and you will implement evaluation harnesses to ensure reliability, safety, and business correctness.

You will collaborate with product engineers to embed agents into production interfaces, focusing on latency, cost efficiency, and robust failure recovery under real user.

Production-Ready AI Agent Engineer employer: oOlie AI

As a Business Analyst Intern at our company, you'll be part of a dynamic team that values analytical thinking and clear communication. We foster a collaborative work culture that encourages personal growth and offers opportunities for professional development in the heart of a vibrant city. With a focus on business process improvement and digital transformation, you'll gain hands-on experience while contributing to meaningful projects that make a real impact.

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Contact Details:

oOlie AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Production-Ready AI Agent Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at oOlie AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to oOlie AI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like oOlie AI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like oOlie AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Production-Ready AI Agent Engineer

Agent System Design
Workflow Orchestration
Structured and Unstructured Data Reasoning
Evaluation Harness Implementation
Reliability Engineering
Safety Assurance
Business Correctness

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at oOlie AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at oOlie AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at oOlie AI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If oOlie AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.