AI Solutions Engineer - Heavy Asset
AI Solutions Engineer - Heavy Asset

AI Solutions Engineer - Heavy Asset

Full-Time 80000 - 105000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement AI-powered automation solutions for real business impact.
  • Company: Join a leading heavy asset client in the AI sector.
  • Benefits: Competitive salary up to £105k, 8% pension, and flexible working hours.
  • Why this job: Work at the forefront of applied AI and drive innovation.
  • Qualifications: 3+ years experience with LLMs and strong communication skills.
  • Other info: Dynamic, fast-paced environment with opportunities for growth.

The predicted salary is between 80000 - 105000 £ per year.

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Managing Consultant – AI, Computer Vision and Robotics at Harnham

AI Solutions Engineer – London, 5 days onsite, £80k-£105k salary + 8% pension and benefits

Our heavy asset client is seeking a hands‑on AI Solutions Engineer to design, build, and implement AI‑powered automation solutions. This role offers the chance to work at the forefront of applied AI, delivering real business value through innovative solutions.

The Role

As an AI Solutions Engineer, you will work closely with business stakeholders to identify opportunities and deliver scalable AI workflows. You will design prompts, integrate Large Language Models (LLMs) with enterprise systems, and implement Retrieval‑Augmented Generation (RAG) pipelines. You will also advise on responsible AI practices, ensuring compliance and governance.

Key responsibilities

  • Designing and optimizing prompts for reliable LLM outputs
  • Building and deploying AI‑driven workflows connecting LLMs to applications, APIs, and automation tools
  • Implementing RAG pipelines to link enterprise data with LLMs
  • Prototyping and iterating to demonstrate business value quickly
  • Advising on best practices for responsible AI adoption

Candidate Profile

  • Strong experience with LLMs (e.g., GPT, Claude, LLaMA) and prompt engineering
  • Hands‑on integration with tools such as LangChain, LlamaIndex, or similar
  • Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n)
  • Knowledge of vector databases and embeddings for RAG pipelines
  • Excellent communication skills to translate business problems into technical solutions
  • Experience working in agile or fast‑paced environments
  • 3+ years experience

Location & Working Model

  • Based in London
  • Five days a week onsite, with flexible working hours

Package

  • Salary up to £105,000

This role cannot sponsor

Seniority level

Mid‑Senior level

Employment type

Full‑time

Industries

Boilers, Tanks, and Shipping Container Manufacturing and Civil Engineering

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AI Solutions Engineer - Heavy Asset employer: Harnham

Harnham is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. As an AI Solutions Engineer, you'll not only engage with cutting-edge technology but also benefit from a competitive salary, an 8% pension scheme, and ample opportunities for professional growth. The company's commitment to responsible AI practices and its supportive culture make it an ideal place for those looking to make a meaningful impact in the field of applied AI.
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Contact Detail:

Harnham Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Solutions Engineer - Heavy Asset

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and automation tools. This will give you an edge and demonstrate your hands-on experience to potential employers.

✨Tip Number 3

Prepare for interviews by practising common technical questions related to AI solutions and prompt engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace AI Solutions Engineer - Heavy Asset

AI Solutions Engineering
Large Language Models (LLMs)
Prompt Engineering
Integration with LangChain
Automation Platforms (UiPath, Power Automate, Zapier, n8n)
Retrieval-Augmented Generation (RAG) Pipelines
Vector Databases
Embeddings
Communication Skills
Agile Methodologies
Prototyping
Business Problem Translation
Compliance and Governance in AI

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the AI Solutions Engineer role. Highlight your experience with LLMs and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can bring value to our team. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.

Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially with tools like LangChain or automation platforms. We love seeing practical examples of how you've used these in past roles, so include any relevant projects or achievements.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at Harnham

✨Know Your AI Stuff

Make sure you brush up on your knowledge of Large Language Models and prompt engineering. Be ready to discuss specific projects where you've integrated LLMs with enterprise systems, as this will show your hands-on experience.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've identified business problems and delivered scalable AI workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight the impact of your solutions.

✨Familiarise Yourself with Tools

Get comfortable with automation platforms like UiPath or Power Automate, and be ready to discuss how you've used them in past roles. Mention any experience with RAG pipelines and vector databases to demonstrate your technical prowess.

✨Communicate Clearly

Since excellent communication skills are key for this role, practice explaining complex technical concepts in simple terms. Think about how you would translate a technical solution to a non-technical stakeholder, as this will be crucial in your discussions.

AI Solutions Engineer - Heavy Asset
Harnham

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