At a Glance
- Tasks: Design and deploy innovative AI solutions that tackle real-world challenges.
- Company: Join Solirius Reply, a leading tech consultancy with a collaborative culture.
- Benefits: Enjoy competitive salary, private healthcare, flexible working, and generous leave.
- Other info: Thrive in an inclusive environment with excellent career growth opportunities.
- Why this job: Make a tangible impact using cutting-edge AI technology in diverse projects.
- Qualifications: Strong Python skills and experience in AI engineering and collaborative teamwork.
The predicted salary is between 63000 - 77000 £ per year.
About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact.
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.
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).
What We Offer:
- 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)
- Contributory Pension
- EAP with Help@Hand
- Gym Membership Benefits
- Flexible Benefits Allowance
- Cycle to Work and Electric Vehicle schemes
- Flexible Working
- Annual Away Days/Company Socials
Diversity and Inclusion: As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
AI Engineer employer: solirius
As a leading player in the financial sector, our company offers an exceptional work environment for Content Designers, fostering innovation and collaboration. With a strong emphasis on employee growth, we provide ample opportunities for professional development and a culture that values creativity and teamwork. Located in a vibrant city, our office is designed to inspire, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at solirius or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to solirius.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like solirius.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like solirius that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at solirius.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at solirius and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at solirius
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If solirius uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.