Role Description El Ingeniero de IA será responsable de desarrollar e implementar modelos, algoritmos y sistemas de inteligencia artificial. - Trabajarán con otros miembros del equipo para identificar los requisitos de datos para proyectos de IA. - Diseñar técnicas para adquisición, limpieza y preprocesamiento de datos. - Probar y validar los modelos de IA e integrarlos en aplicaciones de software. Qualifications - Habilidades en Ciencias de la Computación. - Experiencia en el desarrollo de redes neuronales y algoritmos de reconocimiento de patrones. - Experiencia en Modelos de lenguaje a gran escala (LLM), Modelos Multimodales (LMM), ML y DP. - Habilidades en desarrollo de software y competencia en lenguajes de programación como Python, Java o C++. - Fuertes habilidades analíticas y de resolución de problemas. - Excelentes habilidades de comunicación y trabajo en equipo. - Un título en Ciencias de la Computación, Inteligencia Artificial o un campo relacionado. - Experiencia en el desarrollo de sistemas de IA para industrias como la salud, finanzas o transporte es una ventaja. - Experiencia con plataformas de computación en la nube y tecnologías de big data es una ventaja (Azure).

Role Description This is a newly created role for an AI-first Full Stack Software Developer to join the core R&D team at one of the world's best-known music technology companies. Working alongside other music-loving software engineers, you'll be responsible for rapidly building, testing, and shipping AI-powered features, helping them to accelerate the introduction of AI into music creation. This is a remote position with 100% remote working from the UK, Germany, or Belgium. Qualifications - 5+ years of experience building full stack applications - Hands-on experience with music production software and audio technology / audio processing - Strong skills in Typescript, React, and Node.js - Experience integrating external APIs - Detailed understanding of AI tools and APIs (LLMs, generative models) - Able to prototype quickly, with a strong connection between ideas, engineering, and product development - Confident working remotely, great communicator, and strong online collaborator Company Description

Role Description Are you passionate about building real-world AI that improves lives? In this role, you’ll collaborate directly with clinicians, operational SME's, clinical researchers, and IT peers to design and deploy machine learning solutions that improve operational efficiencies in healthcare administrative areas and advance clinical care, helping shape the future of patient care. A background in healthcare is highly desirable, as you’ll help translate clinical challenges into AI-powered solutions. You’ll work on production-grade ML systems, explore emerging technologies like agentic AI and AR/VR, and build clinical decision support tools that can have a real impact on patient outcomes. If you’re a senior engineer who thrives at the intersection of engineering, research, and medicine — we’d love to meet you. The AI Engineer III role is responsible for advanced analytics applying statistical, mathematical, and computational models to diverse datasets to solve clinical and business problems and identify breakthrough opportunities. This position is responsible for performing sophisticated data analytics by designing, developing, and deploying quantitative models and other analytics tools. Working with a multi-disciplinary team of Data Engineers, Data Architects, BI Developers, and operational SME’s across VCU Health, the AI Engineer III will work on complex business problems and provide actionable insights with the overarching goal of improving clinical and financial outcomes. Qualifications - Required: Bachelor’s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline - Preferred: Master’s degree in Business, IT, Math, Data Analytics, Engineering or related discipline Requirements - 8+ years’ experience in Machine Learning/Artificial Intelligence tools and technologies required - 5+ years’ experience in Python or R and SQL required - 2+ years of experience as a Full Stack Machine Learning Engineer or similar role required - 2+ years’ experience in healthcare environment preferred - Experience working with unstructured data, NLP technologies, and big data is required - Experience working with one of the open-source ML libraries/frameworks - PyTorch/TensorFlow/Keras/Numpy required - Experience with Foundation models, Prompt Engineering, fine-tuning or RAG required - Experience working with Cloud technologies such as AWS/Azure/GCP required Benefits - Mentor and guide junior members of the team sharing expertise in AI/ML techniques, model development, and deployment best practices - Design and implement RESTful APIs to integrate ML models or GenAI solutions with other applications and systems within the organization - Stay abreast of the latest advancements in AI and Machine Learning technologies to ensure VCU Health is in the forefront of AI innovation - Conduct rigorous model evaluation, including performance testing and bias assessment, to ensure the ethical and reliable deployment of AI systems

Role Description We are looking for a Lead Engineer, Generative AI & ML Engineering for the Operational Intelligence Program within B&MI. This role will lead a team of Gen AI engineers to architect and deliver next-generation LLM, agentic, and multimodal AI systems that enable business growth, elevate customer experience, and ensure secure, scalable, production-grade AI. As a technical leader, you will set the engineering standard for Gen AI development — driving innovation across agentic orchestration, retrieval-augmented generation, LLMOps, and responsible AI — while fostering a culture of continuous learning and engineering excellence. - Architect and lead the development of multi-agent AI systems using frameworks such as LangGraph, CrewAI, and AutoGen. - Design and operationalize multimodal generative AI pipelines that unify text, image, tabular, and graph data using transformer-based architectures. - Build production-grade RAG and Graph-RAG systems integrating vector databases and knowledge graphs. - Lead LLM fine-tuning, prompt engineering, and model alignment strategies. - Establish robust LLMOps and MLOps pipelines on Databricks using MLflow. - Develop high-performance Python backend services for LLM inference orchestration. - Engineer state, memory, and context management subsystems. - Implement Responsible AI and AI governance practices. - Apply traditional ML and statistical modeling in hybrid architectures alongside LLMs. - Continuously research, evaluate, and productionize advancements in generative modeling and agentic AI. Qualifications - Master's or Bachelor's degree in Computer Science, AI/ML, or Engineering. - Significant hands-on experience leading and delivering complex Gen AI or ML engineering programs in production environments. - Expert-level, hands-on experience designing, building, and deploying large language model (LLM) applications. - Deep proficiency with LLM ecosystems: OpenAI, Anthropic, Gemini, Hugging Face, LangChain/LangGraph. - Strong command of Gen AI engineering patterns. - Solid applied knowledge of ML fundamentals. - Excellent Python engineering skills including async programming and API development. - Hands-on experience with cloud AI infrastructure and familiarity with MLOps/LLMOps tooling. - Strong analytical, communication, and stakeholder management skills. Requirements - Ability to translate complex Gen AI concepts into business value. - Lead cross-functional teams toward delivery. Benefits - Insurance (including medical, prescription drug, dental, vision, disability, life insurance). - Flexible spending account and health savings account. - Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave). - 80 hours of Paid Sick and Safe Time. - 25 days of vacation time and 5 personal days, pro-rated based on date of hire. - 10 annual paid U.S. observed holidays. - 401k with a best-in-class company match. - Deferred compensation for eligible roles. - Fitness reimbursement or on-site fitness facilities. - Eligibility for tuition reimbursement. - 56 hours of Paid Sick and Safe Time for interns. - Jury duty leave for interns. - On-site fitness facilities in some locations for interns.