AI Engineer

• Develop and maintain back-end AI-powered applications and services.
• Build and integrate LLMs and multi-agent systems using frameworks like Semantic Kernel LangChain or similar.
• Design and implement front-end interfaces for AI applications using modern frameworks (React 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 end-to-end AI solutions.
• Apply MLOps practices for model deployment monitoring and lifecycle management.
• Build intuitive accessible and standards-compliant UIs for GenAI applications.
• Support junior team members through knowledge sharing and mentoring.
• Maintain comprehensive documentation on AI models including strengths limitations and data-driven justifications.
• Ensure secure and compliant development of AI systems in line with GDPR EU AI Act and Responsible AI guidelines.

Qualifications :

• 4-6 years experience in Applications Development Lifecycle.
• Proven experience in backend development for AI applications and orchestration of LLMs/multi-agent systems.
• Proficiency in Python and ML frameworks such as TensorFlow and PyTorch.
• Experience with cloud ML services like Azure ML and AWS SageMaker.
• Strong front-end development skills in HTML CSS JavaScript TypeScript and frameworks like React or Angular.
• Experience with design tools and systems like Figma and Storybook.
• Knowledge of API integration REST GraphQL and backend service orchestration.
• Demonstrated experience in prompt engineering and experimentation with multiple AI models.
• Familiarity with Agile methodologies Scrum practices and Application Lifecycle Management in a .NET environment.
• Experience in automated testing including unit integration and end-to-end testing using modern frameworks.
• Understanding of AI security best practices and regulatory compliance (GDPR EU AI Act).
• Strong communication skills in English both written and verbal (IET or equivalent).

Additional Information :

Why Version 1

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 companys 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 peoples 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 1s 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.

Ekta Bahl - Talent Acquisition Capability Partner

#LI-EB1

Remote Work :

No

Employment Type :

Full-time