AI Engineer

AI Engineer

Full-Time 60000 - 80000 € / year (est.) No home office possible
FSP Consulting Services Limited

At a Glance

  • Tasks: Design and deliver innovative AI solutions for public sector and enterprise clients.
  • Company: Join FSP, a leading consultancy in Digital, Security, and AI solutions.
  • Benefits: Enjoy hybrid working, competitive salary, and industry-leading coaching.
  • Other info: Embrace a supportive environment with excellent career growth opportunities.
  • Why this job: Make a real impact with cutting-edge AI technologies and collaborative teams.
  • Qualifications: 2+ years in AI engineering or software development, strong skills in GenAI and LLMs.

The predicted salary is between 60000 - 80000 € per year.

We're hiring an AI Engineer to design and deliver production-grade GenAI and Agentic AI solutions across our public sector and enterprise clients. The successful candidate will work across AI Engineering disciplines including Generative AI, Agentic AI, Large Language Models and LLMOps as part of our growing AI Engineering team.

You will work with architects, engineers and business stakeholders to deliver cloud-based AI solutions using GenAI and agentic systems, helping clients unlock data value, automate complex processes and drive digital transformation. Due to the nature of this role, successful candidates may need to undergo security clearance. To be eligible you must have lived in the UK for at least 5 consecutive years.

Responsibilities
  • Deploy, fine-tune and monitor Generative AI models and Agentic AI systems for enterprise use cases.
  • Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced prompt and context engineering strategies.
  • Design and implement multi-agent systems using orchestration frameworks such as CrewAI, Semantic Kernel or LangGraph.
  • Integrate Agentic AI into business workflows and collaborate with data engineers to bring agentic capabilities to production.
  • Implement LLM evaluation pipelines to assess output quality, accuracy and safety.
  • Apply responsible AI principles including fairness, transparency and auditability, particularly for regulated public sector environments.
  • Apply AI safety, guardrails and output validation controls to ensure robust, compliant production deployments.
  • Evaluate and recommend emerging GenAI tools and agentic frameworks for client applicability, driving innovation within the team.
About you
  • 2+ years’ experience in AI engineering, software development or data science, with a strong recent focus on GenAI and LLMs.
  • Hands-on experience with GenAI orchestration frameworks and cloud platforms, including Azure AI Foundry, CrewAI, LangChain, Semantic Kernel, Hugging Face and Azure ML Studio.
  • Strong capability in prompt and context engineering, RAG pipeline design, and LLMOps, including tooling such as PromptFlow, LangSmith, prompt versioning and LLM cost management.
  • Experience working with Azure data and analytics services, including Data Factory, Data Lake, Synapse Analytics and Azure SQL Database.
  • Strong programming skills (Python, C# or similar), with experience using Azure DevOps/GitHub CI/CD, and working across the software development lifecycle, including access control, audit logging, documentation, knowledge transfer and training.
  • Knowledge and experience of the following would be advantageous:
    • Experience deploying AI solutions on Azure, including Azure OpenAI, Azure AI Foundry and Azure ML Studio, with familiarity using Microsoft Copilot Studio.
    • Experience with ML and AI engineering toolchains, including MLflow, Databricks CLI, automated retraining pipelines, drift detection, MLSecOps, and LLM evaluation frameworks (e.g. RAGAS, DeepEval) alongside AI safety tooling (Azure Content Safety, Guardrails AI).
    • Experience with Infrastructure as Code (IaC) using Terraform, Bicep or ARM Templates to provision, manage and version cloud resources.
    • Familiarity with agentic AI and ML technologies, including MCP (Model Context Protocol), tool-use patterns, Computer Vision (OCR/object recognition), core ML frameworks (TensorFlow, PyTorch, Scikit-learn).
What we look for in our people
  • Strong alignment with FSP values and ethos.
  • Commitment to teamwork, quality and mutual success.
  • Proactivity with an ability to operate with pace and energy.
  • Strong communication and interpersonal skills.
  • Dedication to excellence and quality.
Who are FSP?

FSP is a leading consultancy specialising in Digital, Security and AI solutions. Our success is enabled by our unwavering commitment to excellence, our people centric culture alongside best-in-class operations, ensuring impactful and sustainable outcomes for our clients.

As a long standing and highly accredited Microsoft Partner, with extensive solution designations, we partner with clients across a range of commercial sectors, enabling digital transformation, innovation and robust cyber security.

We navigate the complexities of data sensitivity, confidentiality, governance and compliance. We blend strategic insight, depth of technical expertise, delivery and operational excellence to meet the specific requirements outlined.

We take a collaborative, one team approach with our clients to drive sustainable change, providing outstanding client experience and delivering exceptional results that are aligned with business priorities.

Our commitment to security and quality is reinforced by our ISO27001 and ISO9001 certifications (UKAS), as well as our CREST approved penetration testing and SOC capabilities. Additionally, we are an IASME Cyber Essentials Certification Body and Cyber Essentials Plus certified.

Why work for FSP?
  • A collaborative and supportive environment in which you can grow and develop your career.
  • The tools and opportunity to do work you can be proud of.
  • A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience.
  • Hybrid working – we empower you to make smart choices about when and where to work to achieve great results.
  • Industry leading coaching and mentoring.
  • Competitive salary and an excellent benefits package.

FSP is an equal opportunity employer and welcomes applications from all suitably qualified candidates. We assess applicants based on their skills, experience, and potential, without regard to age, disability, sexual orientation, gender identity, family or parental status, race, colour, nationality, ethnic or national origin, religion or belief, or any other protected characteristic. Please note that visa sponsorship is available for some roles, subject to eligibility and business requirements.

Research indicates that individuals from underrepresented groups may be less likely to apply where they feel they do not meet every requirement, or where there is uncertainty about who a role is intended for. If you are interested in a role with us but are concerned that you may not meet all the criteria, we encourage you to apply. You may be a strong candidate for this role or for other opportunities within FSP. We are committed to providing a fair and inclusive recruitment process. If you require any reasonable adjustments to participate fully in an interview or meeting (whether virtual or in person), please let us know.

AI Engineer employer: FSP Consulting Services Limited

FSP is an exceptional employer, offering a collaborative and supportive environment that fosters career growth and development for AI Engineers. With a commitment to excellence, hybrid working options, and industry-leading coaching, employees can thrive while working on impactful projects in the public sector and enterprise domains. The company values diversity and inclusion, ensuring that all team members are empowered to contribute their unique perspectives and skills.

FSP Consulting Services Limited

Contact Detail:

FSP Consulting Services Limited Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer

Tip Number 1

Network like a pro! Reach out to folks 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 put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Generative AI and LLMs. This gives you a chance to demonstrate your expertise and creativity beyond just a CV.

Tip Number 3

Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process when deploying models or designing systems, as this will help you stand out during technical discussions.

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, it shows you’re genuinely interested in joining our team at FSP.

We think you need these skills to ace AI Engineer

Generative AI
Agentic AI
Large Language Models (LLMs)
LLMOps
Retrieval-Augmented Generation (RAG) pipelines
Prompt and context engineering
Multi-agent systems design

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Generative AI and LLMs. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!

Show Off Your Technical Skills:We’re looking for hands-on experience with tools like Azure AI Foundry and prompt engineering. Be specific about your programming skills and any frameworks you’ve worked with. The more detail, the better!

Highlight Teamwork and Communication:Since collaboration is key in our team, share examples of how you’ve worked with others in past roles. Whether it’s with architects or business stakeholders, we want to know how you communicate and contribute to a team.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our recruitment process smoothly. We can’t wait to hear from you!

How to prepare for a job interview at FSP Consulting Services Limited

Know Your AI Stuff

Make sure you brush up on your knowledge of Generative AI, Agentic AI, and LLMOps. Be ready to discuss specific projects you've worked on, especially those involving Azure platforms and orchestration frameworks like CrewAI or LangChain. This will show that you’re not just familiar with the concepts but have practical experience too.

Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled complex problems in previous roles. Think of examples where you deployed AI solutions or designed RAG pipelines. Highlight your approach to integrating AI into business workflows and how you collaborated with teams to achieve results.

Understand Responsible AI Principles

Since this role involves working in regulated environments, be ready to discuss responsible AI principles like fairness and transparency. Have examples ready that demonstrate how you've applied these principles in your work, particularly in ensuring compliance and safety in AI deployments.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI, their current projects, or how they ensure quality and security in their solutions. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.