Senior Architectural Engineer & 3D CAD Specialist

A leading innovator in genomic data analysis and personalized medicine. Our mission is to harness the power of technology to provide actionable insights that empower healthcare professionals and patients. We are dedicated to transforming the landscape of genomic information, making it accessible and impactful for all. We value collaboration, creativity, and excellence. Job Description: We are seeking an experienced LLM Specialist to join our dynamic team. In this role, you will be responsible for developing and deploying Large Language Models (LLMs), with a specific focus on multi-modal transformer implementations. You will also handle the AI integration aspects of our projects, ensuring seamless functionality within our cloud infrastructure. Key Responsibilities: Develop and deploy Large Language Models (LLMs) tailored for various applications. Implement multi-modal transformer architectures to enhance model capabilities. Utilize Google Cloud Platform (GCP) for effective deployment and management of AI solutions. Collaborate with cross-functional teams to integrate AI components into existing systems. Design and modify cloud architecture to support LLM deployment, ensuring scalability and efficiency. Conduct performance tuning and optimization of LLMs in the cloud environment. Stay updated on advancements in AI technologies and best practices. Technical Skills Required: Proven experience in developing and deploying Large Language Models (LLMs). Strong understanding of multi-modal transformer implementations. Extensive experience with Google Cloud Platform (GCP) for AI/ML applications. Proficiency in Node.js and React for building integrated solutions. Knowledge of architectural design principles for cloud infrastructure. Familiarity with Microsoft Azure or AWS is a plus but not mandatory. Soft Skills: Strong problem-solving abilities with a focus on innovation. Excellent communication skills, both written and verbal; ability to convey complex technical concepts clearly. A collaborative mindset with the ability to work effectively in cross-functional teams. A proactive approach to learning new technologies and methodologies. Qualifications: Medium level to senior experience in AI/ML development, specifically with LLMs. Demonstrated ability to design cloud architecture and build necessary components for deployment. A scrappy, startup mindset with a passion for driving technological advancements.

About Us: A pioneering company at the forefront of genomic data analysis and personalized medicine. We leverage cutting-edge technology to provide insights that empower healthcare professionals and patients alike. Our mission is to transform the way genomic information is utilized, making it accessible and actionable for everyone. We are committed to innovation, collaboration, and excellence in everything we do. We are looking for a talented Full Stack Developer to join our dynamic team and contribute to our exciting projects. Job Description: As a Full Stack Developer, you will be responsible for developing and deploying web services while working on both frontend and backend technologies. You will collaborate with cross-functional teams to design and implement scalable cloud solutions, ensuring high performance and responsiveness of applications. Key Responsibilities: Develop user-friendly web applications using React for the frontend. Build robust backend services using Node.js. Design, create, and modify cloud infrastructure on Google Cloud Platform (GCP). Collaborate with team members to architect cloud solutions that meet business needs. Implement Large Language Models (LLMs) in the cloud environment. Ensure code quality through testing and best practices. Participate in code reviews and provide constructive feedback to peers. Technical Skills Required: Proficient in frontend development with React. Strong backend experience with Node.js. Solid understanding of cloud technologies, specifically Google Cloud Platform (GCP). Experience in architectural design of cloud solutions. Ability to build and modify cloud components effectively. Familiarity with Microsoft Azure or AWS is a plus but not mandatory. Knowledge of implementing LLMs in a cloud setting. Qualifications: Medium level to senior experience in full stack development. Excellent command of English, both written and spoken; technical English proficiency is required. A scrappy, startup mindset with a passion for problem-solving and innovation.

As a Customer Success Manager at our startup, you will play a key role in ensuring the satisfaction and success of our clients. You will be responsible for managing key relationships, solving problems effectively, and ensuring our clients get the most value from our platform. We are looking for someone creative, organized, and methodical, with a strong drive for growth and excellent communication skills in English. Responsibilities: Manage relationships with key clients to ensure their satisfaction and retention. Proactively resolve client issues and concerns in a timely and effective manner. Guide clients on the effective use of our platform and propose creative solutions to meet their needs. Keep detailed records of client interactions and account updates. Collaborate closely with internal teams to ensure a seamless customer experience. Identify upsell opportunities and negotiate contract renewals. Actively participate in the continuous improvement of our processes and products based on client feedback. Requirements: Previous experience in Customer Success or similar roles in startups or tech companies. Proven problem-solving skills and ability to handle challenging situations with calm and professionalism. Attention to detail and ability to work in an organized and methodical manner. Strong verbal and written communication skills in English. Proven ability to negotiate and close deals. Passion for personal and professional growth, with a sales-oriented mindset and a results-driven approach. Benefits: Opportunity for growth and professional development in a growing startup. Dynamic and collaborative work environment. Salary: fixed base plus commission