AI Engineer

About Multiverse Computing

Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU.

We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.

You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

Position

We are seeking a skilled and experienced AI Engineer to join our dynamic team, focusing on applying quantum technologies to Generative AI and Retrieval-Augmented Generation (RAG) systems, computer vision, and data science solutions. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and deployment of advanced Retrieval-Augmented Generation (RAG) systems for enterprise AI applications. You will have the opportunity to work on challenging projects, working closely with a dynamic team of managers and engineers to deliver robust AI solutions to our external customers, and integrating these solutions into our products. This role is ideal for a domain expert who is passionate about identifying AI-driven opportunities and leading the development of advanced solutions across various applications using different technologies.

Responsibilities

• Work on the design, development, and implementation of state-of-the-art advanced RAG systems based on quantum technologies to solve challenging use cases in various applications and domains
• Act as a domain expert in the field of Generative AI applications, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation
• Conduct rigorous evaluations and benchmarks of AI system performance, identifying areas for improvement, optimizing the system for enhanced accuracy, robustness, and efficiency
• Use your expertise to assess the strengths and weaknesses of AI systems, propose enhancements, and develop novel solutions to improve performance and efficiency
• Demonstrate strong expertise as a data scientist, especially in dealing with unstructured data in NLP contexts, extracting data from various databases and sources, processing the data to support AI model development and optimization
• Collaborate with cross-functional teams to integrate AI solutions into customer workflows
• Maintain comprehensive documentation of the development processes, experiments, evaluations, and results
• Participate in code reviews and provide constructive feedback to team members
• Stay up-to-date with the latest advancements and emerging trends in Generative AI, LLMs and data science, and recommend new tools and technologies as appropriate

Your qualification

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields
• 3+ years of experience as a data scientist, with a proven ability to extract data from databases and various sources effectively, and demonstrated proficiency in data cleaning, transformation, and analysis to support AI model development and optimization
• 2+ years of experience in NLP, focusing on processing and parsing unstructured text data
• 1+ years of experience in designing, developing, and deploying advanced RAG systems for enterprise AI applications in an industrial environment, using libraries such as LlamaIndex and integrating both open-source and private LLM models
• Excellent programming skills in Python and experience with relevant libraries (LlamaIndex, PyTorch, etc.)

• Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment
• Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively
• A track record of research publications in AI and machine learning is a plus

What we offer

• Indefinite contract
• Equal pay guaranteed
• Variable performance bonus
• Signing bonus
• Relocation package and visa support (if applicable)
• Opportunity to be part of the phantom shares programme
• Private health insurance
• Eligibility for educational budget according to internal policy
• Hybrid opportunity
• Flexible working hours
• Language classes and discounted lunch options
• Working in a high paced environment, working on cutting-edge technologies
• Career plan. Opportunity to learn and teach
• Progressive Company. Happy people culture

Additional details

We strongly encourage women and individuals from underrepresented groups to apply. At Multiverse Computing, we are committed to fostering a diverse and inclusive environment, where everyone's unique perspectives contribute to innovative solutions and a vibrant workplace. Join us in shaping the future of technology.