At a Glance
- Tasks: Build and deliver innovative AI products, transforming manual processes into automated solutions.
- Company: Join a rapidly growing startup focused on blending human expertise with AI for safer online experiences.
- Benefits: Enjoy flexible hours, competitive salary, equity options, and generous paid leave.
- Other info: Remote-first culture with opportunities for professional development and exciting team offsites.
- Why this job: Be part of a mission-driven team making a real impact in the AI space.
- Qualifications: Strong Python skills, AI experience, and a passion for problem-solving are essential.
The predicted salary is between 36000 - 60000 € per year.
We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions.
We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond!
We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently.
As part of this role, you will:
- Collaborate with customers to thoroughly understand their workflows, then design and build AI agents that automate their processes.
- Contribute to the development of our AI agent development platform that scales with our product strategy.
- Ensure our AI services maintain high standards of reliability, observability, availability, and performance.
- Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future.
- Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers.
- Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value.
We are looking for someone who is as excited about Unitary’s mission as we are, who wants to have a large impact at an early-stage startup, and be a key part of defining Unitary’s future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company.
For this particular role, we need a proactive software engineering expert who is familiar with using AI tooling and prompt engineering, and who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges.
We would love to hear from you if:
- Have strong Python and engineering skills, with experience using and applying AI to solve customer problems.
- Can (or want to learn to) develop agentic AI systems that can automate human processes.
- Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently.
- Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions.
- Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input.
- Can travel to our company-wide offsites three times per year.
It would be even better, but not essential, if you have:
- Experience working in a fully remote, international team.
- Previous startup experience.
- A background in building and operating agentic AI systems.
- Experience with MLOps practices and tools, and monitoring machine learning systems in production.
- Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD.
- Proficiency with SQL and NoSQL databases.
- Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform.
- Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements.
This role will report to the VP of Engineering and can be placed anywhere within 3 hours of the UK time zone.
The team Unitary is a remote-first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership.
We are committed to creating a positive and inclusive culture built on genuine interest for each other's well-being. We offer progressive and market-leading benefits, including:
- Flexible hours and location.
- Competitive salary and equity package.
- Occupational pension.
- Generous paid parental leave.
- Generous paid sick leave.
- Annual budget for your professional development and growth.
- Annual budget for your health and wellness.
- Three team offsites to London or other exciting destinations in Europe.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Engineer (City of London)
✨Tip Number 1
Familiarise yourself with the latest AI technologies and tools relevant to the role. Being well-versed in AI tooling and prompt engineering will not only boost your confidence but also demonstrate your commitment to the field during discussions.
✨Tip Number 2
Engage with the AI community online, such as forums or social media groups. This will help you stay updated on industry trends and may provide insights into the challenges customers face, which you can address in your conversations with us.
✨Tip Number 3
Prepare to discuss your problem-solving approach in detail. Think of specific examples where you've successfully analysed workflows and designed automated solutions, as this aligns closely with what we’re looking for in an AI Solutions Engineer.
✨Tip Number 4
Showcase your collaborative spirit by highlighting experiences where teamwork led to successful outcomes. We value group achievements, so demonstrating your ability to work well in a team will resonate with our company culture.
We think you need these skills to ace AI Solutions Engineer (City of London)
Some tips for your application 🫡
Understand the Company:Before applying, take some time to understand Unitary's mission and values. Familiarise yourself with their approach to blending human expertise with AI solutions. This will help you tailor your application to reflect your alignment with their goals.
Highlight Relevant Skills:Make sure to emphasise your software engineering skills, particularly in Python, and any experience you have with AI tooling and prompt engineering. Mention specific projects or experiences that showcase your ability to solve customer problems using AI.
Showcase Communication Skills:Since strong communication skills are essential for this role, include examples of how you've successfully engaged with customers or collaborated with teams in the past. This could be through project management experiences or technical deliveries.
Tailor Your CV and Cover Letter:Customise your CV and cover letter to reflect the specific requirements of the AI Solutions Engineer role. Use keywords from the job description and demonstrate your enthusiasm for contributing to Unitary's mission and growth.
How to prepare for a job interview at Unitary
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and how it can transform businesses. Share examples of how you've used AI in past projects or how you envision it solving customer challenges.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with Python, machine learning, and any relevant tools like Kubernetes. Highlight specific projects where you've applied these skills to deliver solutions.
✨Emphasise Collaboration Skills
Since the role involves working closely with customers, showcase your ability to collaborate effectively. Share experiences where you've successfully worked in a team to achieve a common goal.
✨Prepare for Problem-Solving Scenarios
Expect to be asked about how you would approach specific customer challenges. Think through potential scenarios and be ready to outline your problem-solving process and the steps you would take to design automated solutions.