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For Companies At a Glance
- Tasks: Develop AI tools, modernise systems, and enhance workflows in a hands-on role.
- Company: Join Volaris, a leader in innovative AI solutions and software development.
- Benefits: Enjoy career growth, collaborative culture, and the chance to work on cutting-edge projects.
- Why this job: Be at the forefront of AI transformation, making a real impact across industries.
- Qualifications: Strong AI knowledge and proven project success are essential.
- Other info: Opportunity to lead a small team and set benchmarks for efficiency.
The predicted salary is between 48000 - 72000 £ per year.
Key Highlights
- AI/ML Solutions: Built scalable AI tools and pipelines (e.g., fine-tuning BERT, multimodal ML models) and delivered measurable improvements like a 10% boost in classification accuracy.
- System Modernization: Proficient in optimizing workflows, reducing technical debt, and modernizing legacy systems.
- Automation and Efficiency: Developed automated solutions, including CI/CD pipelines, testing frameworks, and predictive models to enhance efficiency.
- Collaboration and Impact: Demonstrated success in cross-functional teamwork and delivering high-impact, scalable projects across industries.
Role Overview
As an AI-Powered Solutions Developer, you will be at the forefront of Volaris' transformation efforts. Your role will involve modernizing legacy systems, enhancing developer efficiency, reducing technical debt, and applying AI-driven tools to optimize workflows. This is a hands-on role for someone eager to explore unproven areas, create innovative solutions, and deliver tangible results. You’ll collaborate with development teams across businesses to build tools, establish best practices, and showcase how AI can create measurable improvements. With the opportunity to evolve into leading a small team, your work will set new benchmarks for efficiency and modernisation across Volaris.
Competencies
- High Impact: Thrives in a small, focused team with high expectations for delivering value.
- Problem Solver: Comfortable exploring and solving unproven or undefined challenges.
- AI Expertise: Strong understanding of AI, LLMs (Large Language Models), and emerging generators.
- Continuous Learner: Driven to seek out, learn, and apply new technologies.
- Adaptable: Proficient in switching across technologies, toolsets, and working with both legacy and modern systems.
- Project Focused: Maintains a clear focus on milestones and timelines.
Key Responsibilities
- Blend technical expertise with clear, impactful storytelling.
- Focus demos on policy relevance and audience-specific needs.
- Prioritise practical, tangible examples over abstract theory (“show, don’t tell”).
- Illustrate both opportunities and risks clearly.
- Make complex topics accessible to non-technical audiences.
- Demonstrate AI’s real-world implications explicitly (national security, government applications).
- Maintain a library of adaptable, scenario-specific demonstrations.
- Collaborate closely across technical, research, and policy teams.
- Anticipate future capabilities and societal impacts in demos.
- Balance accuracy with simplicity and clarity in presentations.
Qualifications
- Deep understanding of AI and its applications in full software development lifecycle.
- Track record of successfully implementing projects with measurable results.
Why Join Volaris?
- Innovative Projects: Explore cutting-edge AI applications in software development.
- Career Growth: Shape the future of development within Volaris and influence teams across businesses.
- Collaborative Environment: Work alongside industry leaders in a results-driven culture.
Contact Detail:
Volaris Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and ML, particularly in areas like BERT and multimodal models. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Showcase your experience with automation tools and CI/CD pipelines. Be prepared to discuss specific projects where you've implemented these solutions, as this aligns closely with the role's focus on enhancing efficiency and modernising systems.
✨Tip Number 3
Highlight your collaborative skills by preparing examples of successful cross-functional teamwork. The ability to work effectively with diverse teams is crucial for this role, so think of instances where your contributions led to high-impact results.
✨Tip Number 4
Prepare to discuss how you've tackled undefined challenges in previous roles. This position requires a problem solver who can navigate unproven areas, so having concrete examples ready will set you apart from other candidates.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions, particularly any projects where you've built scalable tools or improved classification accuracy. Use specific metrics to demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, emphasise your problem-solving skills and adaptability. Discuss how your experience aligns with the role's responsibilities, especially in modernising legacy systems and enhancing developer efficiency.
Showcase Relevant Projects: Include examples of past projects that illustrate your expertise in AI, LLMs, and automation. Highlight any collaborative efforts that led to high-impact results, as this is crucial for the role.
Prepare for Technical Questions: Anticipate technical questions related to AI applications and system modernisation. Be ready to discuss your approach to solving undefined challenges and how you can contribute to Volaris' innovative projects.
How to prepare for a job interview at Volaris Group
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI and machine learning, particularly in building scalable tools and pipelines. Highlight specific projects where you've achieved measurable improvements, like boosting classification accuracy.
✨Demonstrate Problem-Solving Skills
Expect to face questions about undefined challenges. Share examples of how you've tackled complex problems in previous roles, especially those involving legacy systems or unproven areas.
✨Focus on Collaboration
Since the role involves cross-functional teamwork, be ready to discuss how you've successfully collaborated with different teams. Provide examples of high-impact projects where your contributions made a difference.
✨Prepare for Practical Demonstrations
The interview may involve showcasing your ability to explain complex topics simply. Prepare to present tangible examples of your work, focusing on how AI can create real-world impacts, especially in relevant sectors like national security.
