To join our dynamic team, we are looking for a talented and experienced AI Engineer with a focus on bringing quantum technologies to computer vision, data science, and retrieval-augmented generation (RAG) and generative AI systems. You will be able to lead the design, development, and deployment of sophisticated Retrieval-Augmented Generation (RAG) systems for enterprise AI applications in this position by utilizing cutting-edge quantum and AI technologies.
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.
Requirements
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.
Someone who is based out in Spain.
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.
Perks and Benefits
Indefinite contract.
Equal pay guaranteed.
Variable performance bonus.
Signing bonus.
Relocation package and visa support (if applicable).
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.
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