Localsoft, S.L. is a well-established localization company offering translation, testing and audio services. From our headquarters in Málaga, Spain, we operate both locally and internationally with clients from many different business sectors including leading brands in the Business, IT, Engineering, Entertainment, Life Sciences and Finance verticals.

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Lirio is a healthcare AI-driven personalization engine. The Principal Generative AI Scientist will design, develop, and integrate Generative LLM-based conversational models into Lirio's AI architecture. This role involves deep collaboration with AI and behavioral science teams to create novel, effective, and trustworthy patient-facing conversational tools in healthcare, leveraging Lirio's unique architecture and learning representations. The scientist will lead the integration of conversational, generative-LLM technologies into Lirio’s Objective-Driven Multi-Agent Framework.

Lirio is the personalization engine for digital health, combining behavioral science with artificial intelligence to move people to better health. Through Precision Nudging™, our platform assembles and delivers tailored, behavioral interventions to overcome unique barriers to engaging with and acting on health recommendations. By scaling hyper-personalized interventions, our clients deliver patient and member-focused experiences that initiate and drive sustained behaviors across their entire population, optimizing engagement, closing gaps in care, lowering costs, and measurably improving health outcomes.

VP Generative AI

Lirio is healthcare’s leading AI-driven personalization engine empowering healthcare organizations to better engage and support consumers throughout their journey to better health. Our clients are leveraging Lirio’s proprietary Objective-Driven, Agentic AI Framework to provide cohesive, personalized healthcare experiences for their patients that drive meaningful improvements in health outcomes by assisting each person in navigating and overcoming their own unique challenges to improved health. Lirio’s AI Framework deeply integrates behavioral science principles to initiate and drive sustained behaviors across our clients’ populations, optimizing consumer engagement, closing gaps in care, lowering costs, and measurably improving health outcomes. The Principal Generative AI Scientist is responsible for the design, development, and integration of Generative LLM-based conversational models within the broader Lirio AI architecture. The position requires deep collaboration with the rest of the AI team, as well as our behavioral scientists, to realize novel solutions that leverage and contribute to our unique architecture and learning representations to address the unique challenges of deploying patient-facing conversational tools in healthcare that are both measurably effective and trustworthy.The Principal Generative AI Scientist will lead the integration of conversational, generative-LLM-based technologies into Lirio’s broader Objective-Driven Multi-Agent Framework.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Core Scientific and Product-Related Responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead research initiatives to drive conversational AI model improvements and guide the creation of innovation generative AI-driven solutions and products.</li><li class="leading-relaxed">Work closely with the broader team of AI researchers and engineers to find opportunities to improve our conversational technologies, as well as to optimally integrate them into our objective-driven architecture and overall agentic framework.</li><li class="leading-relaxed">Work with the team to ensure we are fully leveraging conversational feedback in our proprietary behavior-based foundation model.</li><li class="leading-relaxed">Research, develop, and improve techniques to ensure that our uniquely formulated behavioral-science content libraries and knowledgebases can be optimally leveraged in real-time by our language models.</li><li class="leading-relaxed">Align and leverage feedback mechanisms within the Objective-Driven AI framework with alignment feedback for our LLM-based conversational models.</li><li class="leading-relaxed">Work with personalization experts on the broader AI team to leverage personalized embeddings and broader context in patient-facing conversational models.</li><li class="leading-relaxed">Contribute to research on the safety and trustworthiness of medical chatbots.</li><li class="leading-relaxed">Plan and carry out the integration of their scientific research advances within Lirio’s products, while following Lirio’s software engineering processes.</li><li class="leading-relaxed">Oversee the design, build and maintenance of scalable, secure generative AI platforms and core services.</li><li class="leading-relaxed">Contribute to Lirio’s overall mission of improving health outcomes for everyone.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Other Qualifications/Experience</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">The ideal candidate will have deep expertise in LLMs, conversational AI, deep learning, transformer architectures, attention mechanisms, and related concepts.</li><li class="leading-relaxed">They will also have practical LLM engineering experience involving model alignment, fine-tuning, RAG, guardrail implementation, agentic communication protocols, etc.</li><li class="leading-relaxed">They will also have sufficient expertise in general machine learning principles and theory to have detailed collaborative discussions with other experts on the team focused on deep reinforcement learning, multi-task learning, Joint Embedding Predictive Architectures (JEPA), optimization, etc.</li><li class="leading-relaxed">They will have demonstrated the ability to contribute to scientific advances through publications and other demonstrations of thought leadership</li><li class="leading-relaxed">The ideal candidate will also have experience operationalizing conversational AI models, as well as experience in the deployment and hosting of agentic models. Experience in deploying AI technologies within the healthcare space is highly desirable, though it is not required.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">​​PhD in Computer Science, Computer Engineering, Mathematics, or a related field.​</li><li class="leading-relaxed">7+ years of experience</li><li class="leading-relaxed">​​The ideal candidate will have an extensive R&D background in machine learning with a particular focus on LLMs and conversational models, including both research experience and real-world engineering experience. ​</li></ul>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

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