Applied AI Engineer

Ameba Systems Ltd; London; On-site; GBP 100,000 - 130,000; Full time

Job summary

A tech startup is seeking an Applied AI Engineer to develop and launch innovative software solutions. The role involves working on AI systems and back-end services in a dynamic environment. Candidates should have software engineering experience and be enthusiastic about building user-centric products. The position offers a competitive salary of £100,000-£130,000 plus equity and generous benefits, including 28 holiday days and comprehensive healthcare.

Benefits

28 holiday days per year

Four months of maternity and paternity leave at 100% salary

Comprehensive healthcare and dental cover

Loan schemes with strong office collaboration

Qualifications

• 3+ years of software engineering experience.
• Experience with applied AI systems, preferably in the LLM space.
• Ability to work across different system levels.

Responsibilities

• Collaborate with CTO and engineering team on product development.
• Work on AI agent and data pipeline in Python and back-end services.
• Drive development of pipes, evaluation frameworks, and data modelling.

Skills

Software engineering experience

Applied AI systems expertise

Back-end software development

System architecture design

Education

Undergraduate or Master's degree in Computer Science

Tools

Kotlin

Python

TypeScript

AWS

Docker

Job description

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.