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About the Role
We are looking for an experienced AI Engineer to join our team. You will be responsible for designing, architecting, and deploying robust AI solutions and pipelines, including advanced analysis and Generative AI capabilities. You will also act as a technical champion for modern development practices, utilizing and coaching others on AI-assisted and agentic coding techniques.
Responsibilities
- Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications.
- Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments.
- Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute tasks across multiple tools.
- Work collaboratively with Data Engineers to ensure model deployments are supported by robust data storage, vector databases, and cloud infrastructure.
- Act as a practitioner and mentor for AI-assisted coding, championing the use of tools (e.g., Claude Code, Cursor, Copilot) and helping upskill internal teams and clients on agentic coding workflows.
- Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI.
- Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI.
Requirements
- Strong proficiency in Python and robust software engineering principles, with experience operating as part of engineering teams.
- Proven experience working with LLMs and designing Retrieval-Augmented Generation (RAG) architectures, including knowledge of semantic search and vector retrieval.
- Experience using AI-assisted and agentic coding tools to accelerate development, with the ability to articulate and teach these methods to others.
- Passionate, motivated, and enthusiastic about developing technology solutions with the ability to explain complex AI concepts to non-technical stakeholders.
Skills
- Python
- Software Engineering
- LLMs
- Retrieval-Augmented Generation (RAG)
- Semantic Search
- Vector Retrieval
- AI-assisted coding
- Agentic coding
- Consulting
- Generative AI
- NLP
- Agentic Systems
- Cloud Infrastructure (Azure, AWS, or GCP)
- Agile Delivery
- SQL
- Relational Databases
- Data Engineering
- Data Ingestion Pipelines
- ETL
- Orchestration Tools
- Big Data Technologies
- Web Frameworks for Model Serving
- Classical NLP techniques
- Statistical Analysis
- Knowledge Graphs
- Deep Learning
Location
- Flexible Working
Work Type
- Flexible Working
Experience Level
- Experienced AI Engineer
Salary/Compensations
- Competitive Salary
Benefits
- 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
- Annual Away Days/Company Socials
About the Company
- 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.
Equal Opportunity
- 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.
- 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.