At a Glance
- Tasks: Transform innovative ideas into prototypes using AI and full-stack technologies.
- Company: Join a forward-thinking company at the forefront of renewable energy solutions.
- Benefits: Enjoy a hybrid work model with competitive pay and opportunities for growth.
- Why this job: Be part of a dynamic team driving change in the energy sector with cutting-edge technology.
- Qualifications: Extensive full-stack development experience, especially in AI engineering and cloud technologies required.
- Other info: Contract role with potential for extension; background checks will be conducted.
The predicted salary is between 48000 - 72000 £ per year.
Duration: 6 Months (Possibility for Extension)
Location: Hybrid/Windsor (Role can be fulfilled primarily remotely)
Rate: A highly competitive Umbrella Day rate is available for suitable candidates
Role Profile
The Innovation Developer is a dynamic force within the Innovation Team, responsible for transforming visionary ideas into tangible prototypes and proof of concepts (POCs) that leverage cutting-edge AI and full-stack technologies. This role is at the heart of our technical execution, combining deep expertise in modern software development, AI engineering, and cloud architecture with a passion for pioneering technologies in the energy sector.
This role demands a pragmatic and results-driven approach to bridge the gap between theoretical innovation and practical application, delivering reliable, testable products that align with the companies strategic initiatives in renewable energy and smart technology solutions.
Role Responsibilities:
- POC Development & Prototyping: Construct robust, scalable prototypes and POCs that effectively demonstrate the value and functionality of new ideas, integrating AI components with front-end and back-end systems to ensure they align with our strategic direction towards sustainable energy solutions.
- AI & Machine Learning Implementation: Design, build and deploy AI/ML models and algorithms to extract insights from energy data, optimize systems, and create intelligent features that enhance customer experience and operational efficiency.
- Full-Stack Development: Architect and develop end-to-end solutions spanning front-end interfaces, API layers, and back-end systems, ensuring seamless integration between components and optimal performance across the technology stack.
- Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to the companies position at the forefront of the energy industry.
- Cross-functional Collaboration: Work closely with Innovation Designers and other team members to align technical development with design concepts and business objectives, translating complex AI capabilities into user-friendly experiences.
- Agile Methodology: Employ agile development practices to rapidly produce high-quality code and facilitate iterative feedback, ensuring continuous improvement and adaptability across both traditional and AI-powered features.
- Cloud and DevOps Implementation: Deploy and manage applications in cloud environments (AWS/Azure), implement CI/CD pipelines, and utilize containerization technologies to enhance collaboration, streamline development, and ensure efficient deployment of innovations.
- Design Skills Application: Apply basic design skills to contribute to user interface and experience aspects of the prototype, with particular focus on designing effective AI interactions and data visualizations, aiding in the creation of intuitive and user-centric products.
- Knowledge Sharing: Act as a technical mentor within the Innovation Team, sharing expertise in emerging AI technologies and modern development practices and fostering a learning environment that encourages curiosity and professional growth.
- Stakeholder Interaction: Collaborate with internal and external stakeholders to refine requirements, gather feedback, and validate the technical aspects of new innovations, effectively communicating the capabilities and limitations of AI-powered solutions.
Skills & Experience:
- Candidate must have extensive experience as a full-stack developer, proficient in multiple languages and technologies, with a strong emphasis on AI engineering, while having less focus on robotics.
- Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science.
- Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and research, rather than a product manager.
- Background in startups or small businesses, someone who can navigate both innovative, agile environments and complex organizational structures, effectively collaborating with multiple stakeholders.
- Experience with cloud technologies.
- Recent mobile development experience.
- Candidates will need to show evidence of the above in their CV in order to be considered.
If you feel you have the skills and experience and want to hear more about this role ‘apply now’ to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.
Innovation Developer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Innovation Developer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and full-stack development. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Prepare to showcase your previous POC projects or prototypes. Having tangible examples of your work will help illustrate your capabilities and how you can contribute to our innovation team.
✨Tip Number 3
Brush up on agile methodologies and be ready to discuss how you've applied them in past projects. This role requires adaptability, so showing that you can thrive in an agile environment will be beneficial.
✨Tip Number 4
Network with professionals in the energy sector and attend relevant meetups or webinars. Building connections can provide insights into industry needs and trends, which can be advantageous during your application process.
We think you need these skills to ace Innovation Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience as a full-stack developer, particularly in AI engineering. Include specific examples of POC development and any hands-on experience with advanced technologies like large language models and predictive analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation and your ability to bridge theoretical ideas with practical applications. Mention your experience in agile environments and how you can contribute to the company's strategic initiatives in renewable energy.
Showcase Relevant Projects: Include a portfolio or a section in your CV that details relevant projects you've worked on. Highlight your role in developing prototypes and integrating AI components, as well as any collaboration with cross-functional teams.
Prepare for Technical Questions: Anticipate technical questions related to full-stack development, AI/ML implementation, and cloud technologies. Be ready to discuss your problem-solving approach and how you've used innovative technologies to enhance user experiences.
How to prepare for a job interview at LinkedIn
✨Showcase Your Prototyping Skills
Be prepared to discuss your experience in developing prototypes and proof of concepts. Highlight specific projects where you successfully integrated AI components with full-stack technologies, demonstrating your ability to turn innovative ideas into tangible results.
✨Demonstrate Your AI Knowledge
Since the role focuses heavily on AI and machine learning, brush up on the latest trends and technologies in this field. Be ready to explain how you've implemented AI/ML models in past projects and the impact they had on system optimisation and user experience.
✨Emphasise Agile Methodology Experience
Discuss your familiarity with agile development practices. Share examples of how you've used iterative feedback to improve your work and adapt to changing requirements, showcasing your ability to thrive in a fast-paced, innovative environment.
✨Prepare for Technical Collaboration Questions
Expect questions about cross-functional collaboration. Be ready to share experiences where you worked closely with designers and stakeholders to align technical developments with business objectives, illustrating your communication skills and teamwork.