About the job

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. 

 We’re an award-winning employer reflecting how our employees are at the very heart of  what we do:

• UK & Ireland's premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW
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We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!.

Job Description

We are seeking an experienced Senior AI Engineer to design, develop and deliver AI-enabled solutions for large-scale organisations.

The role involves developing proof-of-concept and production AI applications, working across backend services, machine learning infrastructure, large language models, multi-agent systems and modern web technologies. You will collaborate with multidisciplinary teams to deliver AI solutions that meet business and customer requirements.

Key Responsibilities

• Develop and maintain back-end AI-powered applications and services.
• Build and integrate LLMs and multi-agent systems using frameworks such as Semantic Kernel, LangChain, or similar technologies.
• Design and implement front-end interfaces for AI applications using modern frameworks including React, Vue.js and Angular.
• Integrate front-end components with AI APIs and backend services using REST and GraphQL.
• Collaborate with data engineers, UX designers, product managers and QA teams to deliver AI solutions.
• Apply MLOps practices for model deployment, monitoring and lifecycle management.
• Develop intuitive, accessible and standards-compliant user interfaces for AI applications.
• Support team members through mentoring and knowledge sharing.
• Maintain documentation covering AI models, limitations, assumptions and implementation decisions.
• Ensure development activities align with GDPR, EU AI Act requirements and Responsible AI principles.
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Qualifications

Essential Experience

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence or a related discipline.
• Experience in AI/ML engineering or applied machine learning.
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Desirable Experience

• Experience working with Azure, AWS and GCP environments.
• Experience delivering solutions across the full AI lifecycle, including problem definition, data preparation, model development, deployment and monitoring.
• Experience delivering AI/ML solutions across domains such as natural language processing, predictive analytics, recommendation systems or computer vision.
• Contributions to open-source projects or research publications.
• Experience contributing to AI governance, model management and technology selection activities.
• Experience working within Agile delivery environments and DevOps practices.
• Proficiency in Python and machine learning libraries.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data structures, algorithms and software engineering principles.
• Experience with cloud platforms such as Azure or AWS.
• Experience with ML Ops tools such as Azure Machine Learning or MLflow.
• Familiarity with Docker, Kubernetes and containerised deployments.
• Experience developing REST APIs.
• Understanding of SQL and relational database design.
• Problem-solving capability and willingness to learn new technologies.
• Knowledge of security, compliance and regulatory considerations relevant to AI-enabled services.
• Ability to explain technical concepts to technical and non-technical audiences.
• Experience working collaboratively within delivery teams.
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Additional Information

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Version 1 Pension with a 5% employee-matched contribution, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more.
• 24 days holiday allowance plus Public Holidays, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Reward schemes including Version 1’s Annual Excellence Awards & quarterly Star Awards.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. 

·        Generative AI and LLM Engineering: LLM Application Development, Retrieval Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Multi Agent Systems, Model Context Protocol (MCP), Hugging Face Transformers, OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Groq

·        Vector Search and Data Engineering: ChromaDB, FAISS, Pinecone, Sentence Transformers, Semantic Search, Python, SQL, PostgreSQL, Pydantic

·        Machine Learning and Deployment: Deep Learning, TensorFlow, PyTorch, Natural Language Processing, Computer Vision, FastAPI, SQLAlchemy, Alembic, Docker, Docker Compose, MLOps, Microsoft Azure, CI/CD

·        Analytics, Tools and Methods: Tableau, Power BI (DAX), Git, GitHub, JWT Authentication, REST API Design, Agile Delivery