Senior founding GenAI engineer in FemiSpace

Пряме повідомлення учасника, який розмістив вакансію, з FemiSpace Marina Vieva Marina Vieva Director in transition We value your time and efforts, so we kindly ask that you respect ours by applying only if you meet the following criteria:1.     You have at least 5-7 years of solid experience in several of the following areas: Deep ML, AWS, AI, Generative AI, fine-tuning local LLMs, AWS Bedrock, Langchain, MongoDB, GraphQL, HIPAA compliance, and scalable solution development.2.     You are motivated to contribute part-time without immediate compensation until the company is funded. Upon funding, you will either receive vested shares if you join the team full-time or be compensated for the work completed prior to funding. This is not an unpaid role—you will either be paid for your contribution upon funding and/or receive the first-level employee's vesting share plus salary when coming full time.3.     You are committed to delivering top-quality services and have a genuine passion for health and wellness.4. Your command of English is advance at technical and professional communication level.  About Us:At Femispace, we are revolutionizing women's health, particularly reproductive health, by utilizing AI to bring the best of science to your fingertips. Our mission is to be the leader in AI-based technology for solutions grounded in female biology, converting scientific results into actionable and simple steps to improve health, fertility, and ensure the health span of current and future generations. Our goal is to make the best preventive medicine accessible to all women, regardless of their background, race, or location. Who we are looking for:We are seeking a highly skilled and self-motivated Applied AI Engineer who can architect and develop AI/ML and GenAI solutions for our platform.Hands-on software development skills are required, as well as experience working with Generative AI technology, models, and developer tools. Responsibilities:As a senior AI engineer, you’ll lead the development of AI models and algorithms that power our healthcare platform.As an early engineer, you’ll shape architectural decisions.Design, develop, and evaluate innovative Deep ML models (RNNs, LSTM, etc) to solve diverse challenges across healthcare disciplines.You'll improve and expand our AI-driven features, ensuring they provide accurate, actionable insights.·       Implement, test, and deploy LLM-powered conversational agents that understand complex user queries, provide accurate and relevant responses, and adapt to diverse conversational contexts.Integrate and manage diverse data sources (structured and unstructured) to enhance the knowledge baseand contextual understanding of conversational AI models.Design and build infrastructure for serving large ML models, in our private cloud.Fine-tune Generative AI ModelsBuilding groundbreaking AI systems, leveraging multiple LLMs·       The data you'll work with will be about 50% text, 20% numeric data/tables, 30% images/voice/video.Adapt pre-trained language models to our specific domain and use cases.Experiment with different fine-tuning techniques to improve model performance on relevant tasks.Evaluate model performance using appropriate metrics and iterate on training strategies.Implement RAG ArchitectureIntegrate existing generative models with structured and unstructured data using RAG techniques.Develop and optimize retrieval mechanisms to identify relevant information from the knowledge data efficiently.Refine the generation process to produce coherent and informative responses based on retrieved knowledge.Requirements:7+ years of work experience deploying LLM/ML models to production Experience building Generative AI-powered applications.Experience fine-tuning and deploying large language models.Proficiency in Python , PyTorch, TensorFlow, ONNX, LangChain, Kubernetes, and DockerDeep understanding of AI frameworks including Huggingface, semantic search, RAG, LLM agents, AgentGPT, orchestration, plugins, and LLM OpsSolid Experience with Retrieval-Augmented Generation (RAG) architectures or frameworks like Langchain for building LLM-powered applications, including relational, GraphQl and NoSQL databases.Ability to work independently and as part of a teamAbility to work in a fast-paced, customer-focused startup environmentFull-stack ML development experienceThe ability to work as an AI scientist and software engineer.Ability to understand and implement technical state-of-the-art research papersFamiliarity with AWS (ECS, EC2, SQS, Lambda, S3). Preferred Qualifications:A degree in engineering, computer science, or related fields, along with 7-10 years of hands-on experience in software developmentExperience working in a startup environmentDemonstrated ability to drive projects from concept through completion. What we offer:An opportunity to be part of a growing startup with a visionary approach.An opportunity to make a real impact on the future of AI and work on cutting-edge Generative AI technologyFlexible working hours and supportive work culture.A chance to work with some of the brightest minds in the industry through our customers, partners, and employees. Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Часткова зайнятість Посадові обов’язки Інженерія і Інформаційні технології ГалузіHealth care and social services