AI Engineer

AI Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Design and deploy innovative AI solutions that tackle real-world challenges.
  • Company: Join Solirius Reply, a dynamic tech consultancy with a collaborative culture.
  • Benefits: Enjoy competitive salary, private healthcare, flexible working, and generous leave.
  • Other info: Embrace continuous learning and career growth in a supportive environment.
  • Why this job: Make a tangible impact in AI while working with top-tier clients and experts.
  • Qualifications: Strong Python skills and experience in AI engineering and consulting.

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

About us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses and providing a bespoke service, allowing us to truly understand our clients’ needs. It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of clients from both the public and private sectors, such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz. We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields to provide a best-in-class service to our clients. All our consultants have opportunities to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose.

About you: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values.

The Role: We are looking for an experienced AI Engineer to join our team here at Solirius. You will join a multidisciplinary practice comprising Data Scientists, Data Engineers, and Software Engineers, developing and delivering exciting projects with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing further to design complex, multi-agentic systems that solve real-world problems. Additionally, you will act as a technical champion for modern development practices, utilising and coaching others on AI‑assisted and agentic coding techniques to elevate our, and our clients’, engineering velocity.

Requirements Key Responsibilities:

  • Core AI Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications.
  • LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments.
  • Agentic & Multi‑Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute tasks across multiple tools.
  • Production Engineering: Work collaboratively with Data Engineers to ensure model deployments are supported by robust data storage, vector databases, and cloud infrastructure.
  • AI‑Assisted Development (AICA): Act as a practitioner and mentor for AI‑assisted coding. You will champion the use of tools (e.g., Claude Code, Cursor, Copilot) and help upskill internal teams and clients on agentic coding workflows.
  • Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI.
  • Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI.

Key Skills/Experience:

  • Engineering Foundations: Strong proficiency in Python and robust software engineering principles, with experience operating as part of engineering teams.
  • Generative AI & RAG: Proven experience working with LLMs and designing Retrieval‑Augmented Generation (RAG) architectures, including knowledge of semantic search and vector retrieval.
  • AICA Proficiency: Experience using AI‑assisted and agentic coding tools to accelerate development, with the ability to articulate and teach these methods to others.
  • Consulting Aptitude: Passionate, motivated, and enthusiastic about developing technology solutions with the ability to explain complex AI concepts to non‑technical stakeholders.

Bonus Skills/Experience:

  • Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory.
  • Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP).
  • Agile Delivery: Experience working in an Agile development environment.
  • Data Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI).
  • Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs.
  • Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch).

Benefits Package and Benefits:

  • Competitive Salary
  • Bonus Scheme
  • Private Healthcare Insurance
  • 25 Days Annual Leave + Bank Holidays
  • Up to 10 days allocated for development training per year
  • Enhanced Parental Leave
  • Paid Fertility Leave (5 Days)
  • Statutory & Contributory Pension
  • EAP with Help@Hand
  • Gym Membership Benefits
  • Flexible Working
  • Annual Away Days/Company Socials

Equality & Diversity: Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

AI Engineer employer: 慨正橡扯

At Solirius Reply, we pride ourselves on fostering a collaborative and innovative work culture that empowers our AI Engineers to thrive. With a competitive salary, comprehensive benefits including private healthcare and generous training allowances, and a commitment to employee growth through diverse project opportunities, we ensure our team members are well-supported in their professional journeys. Located in a dynamic environment, our flat organisational structure encourages independence and creativity, making us an exceptional employer for those passionate about leveraging technology to solve real-world challenges.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer

Tip Number 1

Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or even just chat with folks on LinkedIn. The more you engage, the better your chances of landing that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.

Tip Number 3

Prepare for interviews by practicing common AI engineering questions. Think about how you’d explain complex concepts to non-technical folks, as communication is key in consultancy roles like the one at Solirius.

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 Solirius.

We think you need these skills to ace AI Engineer

Python
AI Solution Design
Large Language Models (LLMs)
Natural Language Processing (NLP)
Agentic Systems
Cloud Infrastructure (Azure, AWS, GCP)
Agile Development

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI solutions and how it aligns with our needs at Solirius. We want to see how your skills can solve real-world problems!

Showcase Your Projects:Include specific examples of projects you've worked on, especially those involving AI architectures or pipelines. We love seeing tangible results and how you’ve made an impact in previous roles.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key skills and experiences shine through without unnecessary fluff.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role as quickly as possible!

How to prepare for a job interview at 慨正橡扯

Know Your AI Stuff

Make sure you brush up on your knowledge of AI architectures and pipelines. Be ready to discuss your experience with LLMs and how you've operationalised them in production environments. This will show that you’re not just familiar with the theory but can apply it in real-world scenarios.

Show Off Your Collaboration Skills

Since Solirius values teamwork, be prepared to share examples of how you've worked in agile teams. Highlight your consultative approach and how you've engaged with clients to understand their needs. This will demonstrate that you can thrive in a collaborative environment.

Be a Problem Solver

Prepare to discuss specific problems you've solved using AI technology. Think about the challenges you faced, the solutions you implemented, and the impact they had. This will showcase your analytical mindset and passion for using technology to make a difference.

Stay Current with Trends

Familiarise yourself with the latest trends in AI engineering, such as synthetic data generation and Explainable AI. Being able to discuss these topics will show that you're committed to continuous learning and staying ahead in the field, which is crucial for a role at Solirius.