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Applied AI Engineer

Applied AI Engineer (Machine Learning / Back-End)

Engineering at Ameba is a rare opportunity to build cutting-edge software in a traditional industry, while being generously rewarded for your contributions. If you’ve never considered working in supply chains before, everything around you, including the device you're reading this on, has a story of how it got there. Raw material to finished product, that story is the supply chain. If the unseen machinery of the world sparks something in you, we'd love to talk!

We're a startup made up of experienced entrepreneurs (who have previously raised $160m+) and builders (ex-Meta, Palantir, Microsoft, Quant Devs, UnlikelyAI). We have big ambitions and are backed by some of the most successful investors in Europe. We’ve raised over $9M since our launch just over a year ago.

Role Description

As an Applied AI Engineer, you will collaborate closely with our CTO and engineering team to design, build, and launch products from conception to launch.

This involves working primarily on our AI agent and data pipeline, in Python, and various back-end services, in Kotlin. You’ll drive development of, and architecture improvements to, agentic pipelines, evaluation and experimentation frameworks, entity linking and matching, and data modelling, among many other exciting challenges.

Working at a start-up so early, it's common to kick off a feature on Monday, and have it in front of users on Friday. You should be comfortable working with these tight feedback loops, and long to build a product that users love.

Life at Ameba

We pride ourselves on providing top-of-market salaries and generous equity packages to all employees. We're assembling a lean team of exceptionally talented individuals and aim to reward them accordingly.

  • We enjoy collaborating together in the office, typically five days a week, for easy, high-bandwidth conversations. While we provide flexibility to work from home when necessary, our primary focus at this early stage is creating a strong office-first experience.

  • We offer 28 holiday days per year, and we shut down entirely over the holiday season for 2 weeks, allowing everyone to disconnect completely.

  • We provide four months of maternity and paternity leave at 100% salary.

  • We offer comprehensive healthcare and dental cover.

  • The salary range for this role is £100,000-£130,000 + generous equity. The salary for this position is determined by several factors, such as experience, relevant skills, business needs, or market demands.

  • You will have the opportunity (if you want it) to visit customers at their place of work, both in the UK and outside it! We currently work with customers in Portugal, the Netherlands, and more.

Qualifications

Essential

  • 3+ years of software engineering experience

  • Proven experience shipping features and improvements in applied AI systems, preferably in the LLM space or within traditional machine learning.

  • Proven experience building back-end software through collaboration across engineering, design and product management.

  • Ability to work across abstraction levels, from over-arching system architecture and design to code.

Desirable

  • Undergraduate or Master’s degree in Computer Science (or related fields).

  • Experience with Kotlin or Java, Python, TypeScript, AWS, and Docker.

  • Ability to design scalable and efficient systems.

  • Experience working closely with users.

  • Ability or desire to contribute to product and company direction in a growing start-up environment.

Average salary estimate

$115000 / YEARLY (est.)
min
max
$100000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Applied AI Engineer, Ameba

At Ameba, we’re on the lookout for a dynamic Applied AI Engineer to join our innovative team. This isn't just any engineering role; it's an opportunity to work at the intersection of applied AI and the supply chain industry. Here at Ameba, which boasts a team of seasoned entrepreneurs and tech experts from giants like Meta and Palantir, we take pride in developing cutting-edge software that changes the way people think about supply chains. If you've got a passion for AI and machine learning, this role could be your next career milestone! You’ll work closely with our CTO, diving into projects that span from building AI agents to improving data pipelines, all while using Python and Kotlin. Our start-up culture thrives on fast feedback loops; you’ll go from development to user feedback in just a week! Plus, we offer competitive salaries and equity packages to ensure your hard work is rewarded. With 28 holiday days, a robust paternity and maternity leave policy, and comprehensive health benefits, we prioritize our team’s well-being. Join us in reshaping the future of supply chains and experience a workplace that values creativity and collaboration. Your journey begins here at Ameba!

Frequently Asked Questions (FAQs) for Applied AI Engineer Role at Ameba
What responsibilities does the Applied AI Engineer at Ameba have?

As an Applied AI Engineer at Ameba, your primary responsibilities include designing, building, and launching innovative products focused on AI and machine learning applications, particularly in the supply chain domain. You will work closely with our CTO and the engineering team to enhance our AI pipelines, develop evaluation frameworks, and implement improvements to existing back-end services, all while utilizing languages like Python and Kotlin.

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What qualifications are required for the Applied AI Engineer position at Ameba?

To qualify for the Applied AI Engineer position at Ameba, candidates should possess at least 3 years of software engineering experience with a strong focus on applied AI systems. Experience with back-end software development and a strong understanding of system architecture are essential. Familiarity with programming languages such as Kotlin, Python, and tools like AWS and Docker will enhance your chances of success in this role.

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What is the company culture like for an Applied AI Engineer at Ameba?

Ameba fosters a vibrant company culture characterized by collaboration and innovation. Our team typically works together in the office five days a week, encouraging spontaneous conversations and high-bandwidth collaboration. We value flexibility and offer the option to work from home when necessary, but we’re primarily focused on building a strong office-first environment as we embark on this exciting start-up journey.

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What do employees at Ameba say about the benefits for the Applied AI Engineer role?

Employees at Ameba appreciate the top-of-market salaries, generous equity packages, and a strong emphasis on work-life balance. With 28 holiday days per year and a complete shutdown during the holiday season, our team experiences a refreshing break. Moreover, we offer comprehensive healthcare and dental coverage to ensure the well-being of our employees and their families.

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Can an Applied AI Engineer at Ameba interact with customers?

Absolutely! One of the unique aspects of being an Applied AI Engineer at Ameba is the opportunity to visit and interact with customers both within the UK and internationally. This direct engagement allows you to gain valuable insights and feedback on our products, helping to shape their development and enhance user experience.

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Common Interview Questions for Applied AI Engineer
What experience do you have in building applied AI systems?

In your response, highlight specific projects where you contributed to applied AI systems, emphasizing your role and the technologies you used. Mention your familiarity with machine learning and how you've applied these skills to drive results.

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How do you approach problem-solving in software engineering?

Demonstrate your systematic approach to problem-solving by discussing how you identify issues, evaluate solutions, and implement fixes. Sharing an example of a challenging problem you encountered and how you resolved it can make your answer impactful.

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What programming languages are you proficient in, and how have you applied them?

Be specific about the programming languages you are comfortable with, particularly Python and Kotlin. Discuss how you have used them in previous projects, focusing on the outcomes and improvements your work achieved.

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Can you describe a time when you improved a data pipeline?

In your response, detail a specific instance where you contributed to enhancing a data pipeline. Explain the challenges faced, the methodologies adopted, and the measurable improvements resulting from your efforts.

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What’s your experience with collaboration across teams?

Highlight your experience working in cross-functional teams, particularly how you communicate and collaborate with engineers, designers, and product managers. Sharing a specific example will help illustrate your teamwork skills.

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How do you ensure your code is scalable and efficient?

Discuss your coding standards and best practices for ensuring scalability and efficiency, such as code reviews, testing methodologies, and performance considerations. Share an experience where your practices led to significant improvements.

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What interests you about working at Ameba?

Express your enthusiasm for the role and the company, tying in Ameba’s innovative approach to the supply chain and your passion for AI and machine learning. Mention the company's vision and culture, and why these resonate with you.

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How do you keep yourself updated with the latest technologies in AI?

Discuss the various strategies you employ to stay current with AI trends, such as online courses, webinars, attending industry conferences, or engaging in tech communities. Highlight a recent trend or technology that you find exciting and relevant.

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Describe your experience working in a startup environment.

Share your experiences in previous startup roles, emphasizing the dynamism, adaptability, and collaboration that you brought to those positions. Mention how you thrive under tight deadlines and fast feedback cycles.

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What are your long-term career aspirations as an Applied AI Engineer?

Discuss your passion for continuous learning and professional growth. Highlight how you envision your career developing in the field of applied AI, potentially leading to leadership roles or contributing to significant advancements in AI technology.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 16, 2025

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