AI Solutions Engineer

AI Solutions Engineer

Slough Full-Time 36000 - 60000 £ / year (est.) No home office possible
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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.
  • Why this job: Be part of a mission-driven team making a real impact in the AI space while growing your skills.
  • Qualifications: Strong Python skills, familiarity with AI tooling, and excellent communication are essential.
  • Other info: Remote-first culture with opportunities for travel and professional development.

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.

AI Solutions Engineer employer: Unitary

Unitary is an exceptional employer for those seeking to make a meaningful impact in the AI sector. With a remote-first culture that prioritises trust, transparency, and collaboration, employees enjoy flexible working hours, competitive salaries, and generous benefits including professional development budgets and wellness support. As part of a passionate team dedicated to creating safer online environments, you'll have the opportunity to grow alongside the company while contributing to innovative solutions that truly matter.
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Contact Detail:

Unitary Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Solutions Engineer

✨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 real-world applications of AI solutions you've worked on or studied. Being able to share specific examples of how you've solved customer problems with AI will showcase your practical experience and problem-solving skills.

✨Tip Number 4

Highlight your collaborative experiences in previous roles. Since this position requires working closely with customers and team members, demonstrating your ability to thrive in a team-oriented environment will be crucial.

We think you need these skills to ace AI Solutions Engineer

Strong Python programming skills
Experience with AI tooling and prompt engineering
Understanding of machine learning concepts
Ability to develop agentic AI systems
Familiarity with Kubernetes for software deployment
Problem-solving skills
Project management skills
Strong communication skills
Collaborative mindset
Experience with MLOps practices and tools
Knowledge of CI/CD practices and tools such as GitLab CI
Proficiency with SQL and NoSQL databases
Experience with infrastructure as code (IaC) tools like Terraform
Interest in Large Language Models (LLMs)
Adaptability and willingness to learn

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in software engineering and AI solutions. Emphasise your skills in Python, machine learning, and any previous work with AI tooling or prompt engineering.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Unitary's mission and how your background aligns with their goals. Mention specific projects or experiences that demonstrate your problem-solving abilities and collaborative spirit.

Showcase Technical Skills: Include specific examples of your technical skills, such as developing agentic AI systems or using Kubernetes. If you have experience with MLOps practices or CI/CD tools, make sure to highlight these as well.

Demonstrate Communication Skills: Since strong communication is essential for this role, consider including examples of how you've successfully led technical deliveries or collaborated with customers in the past. This will show that you can engage effectively with clients and team members.

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 specific 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 or CI/CD practices. Highlight specific projects where you've applied these skills to deliver solutions.

✨Engage with Customer-Centric Examples

Since the role involves collaborating with customers, share experiences where you've successfully understood client needs and delivered tailored solutions. This will showcase your ability to connect technical work with real-world applications.

✨Emphasise Team Collaboration

Unitary values teamwork, so be ready to discuss how you've worked effectively in a team environment. Provide examples of how you've contributed to group success and supported colleagues in achieving shared goals.

AI Solutions Engineer
Unitary
U
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