AI Engineer

Version 1 Solutions Limited; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Flexible/remote working

Private Healthcare

Profit sharing

Career progression

Job summary

Version 1 is seeking a hands-on AI/ML Engineer to build, deploy, and optimize production-grade AI solutions. You will integrate AI models into business systems, support the full AI development lifecycle, and collaborate with Solution Architects, Product Managers and Engineering Teams.

Join a company with 30 years in business, award-winning employer, and a strong focus on scalable, reliable AI at enterprise scale. Flexible/remote working options and continuous learning opportunities are offered.

Qualifications

• 3+ years in ML engineering or data science with production deployments.
• Experience deploying Gen AI applications including RAG systems or AI agents.
• Strong proficiency with Python, ML libraries, and modern ML tooling.

Responsibilities

• Design, build, and maintain AI-powered applications and services.
• Develop and deploy ML and Generative AI solutions.
• Build RAG systems and AI agents and integrate models into enterprise apps.

Skills

Python

SQL

AI & Machine Learning

RAG systems

LLM integration

Vector search

AWS

Docker

Kubernetes

CI/CD

Tools

MLflow

Job description

We are seeking a hands-on AI/ML Engineer to build, deploy, and optimize machine learning and Generative AI solutions. The role focuses on developing production-grade AI applications, integrating AI models into business systems, and supporting the full AI development lifecycle. The ideal candidate is passionate about modern AI technologies, software engineering best practices, and delivering reliable AI solutions at scale., AI Application Development

Core Responsibilities

• Design, build, and maintain AI-powered applications and services.
• Develop and deploy Machine Learning and Generative AI solutions.
• Build Retrieval-Augmented Generation (RAG) systems and AI agents.
• Integrate foundation models and APIs into enterprise applications.
• Create reusable AI components and frameworks.

Machine Learning Engineering

• Train, fine-tune, evaluate, and deploy ML models.
• Develop feature engineering and model evaluation pipelines.
• Implement model monitoring and performance tracking.
• Optimize model inference performance and cost efficiency.

Generative AI Engineering

• Develop LLM-based applications and workflows.
• Build prompt templates, agent frameworks, and orchestration pipelines.
• Implement vector search and knowledge retrieval systems.
• Design evaluation frameworks for AI quality, safety, and reliability.
• Improve hallucination mitigation and response accuracy.

MLOps & Deployment

• Design and automate ML model training, validation, and retraining pipelines.
• Version and manage datasets, features, and model artefacts using tools such as MLflow or similar.
• Deploy and serve ML models via REST APIs or batch inference at scale on Databricks, Snowflake or similar.
• Monitor model performance in production, detecting drift and degradation.
• Manage feature stores and ensure data pipeline reliability for ML workloads.
• Implement experiment tracking and reproducibility across the model lifecycle.

Collaboration

• Work closely with Solution Architects, Product Managers, and Engineering Teams.
• Participate in code reviews and technical design discussions.
• Support testing, deployment, and ongoing optimisation activities.

Programming & Engineering

• Strong proficiency in: Python, SQL AI & Machine Learning.
• Experience with: Scikit-learn, RAG systems, AI agents, LLM-powered applications, Vector search solutions.
• Familiarity with: LangChain, LlamaIndex, Semantic Kernel, LangGraph Cloud & Infrastructure.
• Experience with AWS.
• Docker and containerization.
• Kubernetes (preferred).
• CI/CD pipelines and DevOps practices.

Professional Experience

• 3+ years in ML engineering or data science, with demonstrable experience deploying models to production and building Gen AI applications including RAG systems, LLM integration, or agentic workflows
• Demonstrated experience delivering AI solutions into production environments.

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

We're a core valuesdriven 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.

Benefits

• 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; Pension, 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. Generous holiday allowance, 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 & 'Call-Out' platform.
• 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.

And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer.