Senior AI Engineer

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September 2

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Precision Medicine Group

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Biotechnology • Healthcare Insurance • Pharmaceuticals

Precision Medicine Group is a global team of experts that specializes in precision medicine, which combines advanced lab sciences, translational informatics, regulatory affairs, payer insights, and marketing communications. The company focuses on overcoming product development and commercialization challenges for pharmaceutical and life sciences clients. Their services include biomarker-driven research and development, as well as commercialization support for life science organizations from launch to product maturity. Precision Medicine Group operates through two main arms: Precision for Medicine and Precision AQ, specializing in clinical and commercial solutions respectively.

1001 - 5000 employees

Founded 2012

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

💰 $35.2M Venture Round on 2021-03

📋 Description

• QuartzBio is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry, delivering sample/biomarker data management and analytics. • Design, develop, test and maintain software applications; work with a team of software engineers. • Manage projects and initiatives with moderate complexity and collaborate with Product, Design, and Engineering teams. • Create design specifications, test plans and automated test scripts for individual work scope. • Develop software solutions that are scalable, maintainable, and secure; analyze, maintain, and implement existing applications. • Write and debug software systems in accordance with software development standards; debug and troubleshoot complex software issues. • Implement new features, enhancements and tools; ensure adherence to software development best practices. • Write clean, legible, efficient, and well-documented code; lead code reviews and mentor peers. • Architect and scale GenAI systems for conversational data exploration, including GenAI pipelines, embeddings, vector search, and semantic search technologies. • Make strategic architectural decisions balancing performance, cost, scalability, and maintainability; shape AI roadmap and continuously improve AI-powered features.

🎯 Requirements

• Bachelor’s degree related field and a minimum 8 years of relevant work experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions. • 4-6 years of experience working in a customer-facing role and leading projects. • Excellent problem-solving and analytical skills. • Strong written and verbal communication skills, with the ability to influence through clear documentation and concise report writing. • Basic knowledge of project management processes and tools (e.g. project scheduling, budgeting, status reporting). • Ability to write complex reports in a clear and concise manner. • Proven leadership and project management skills. • Provide expertise and guidance to team members. • Leads complex technical and functional projects, influences product and departmental strategy through strong leadership and domain expertise. • Actively contributes to the development of departmental strategies. • Continuously improve technical skills and stay up to date with emerging technologies. • Meets budgets and schedules for the entire project lifecycle. • 8+ years of engineering experience, including 8+ years deploying AI/ML/GenAI products in production environments. • Proven ability to drive innovation in AI-powered conversational experiences that enhance data accessibility, semantic search, and insight generation. • Deep technical expertise in: Python and cloud platforms (AWS preferred); Vector databases, semantic search systems, and RAG architectures; LLMs, embedding models, personalization, and quality control. • Proficient with AI development tools such as AWS Bedrock, LangChain, and LlamaIndex. • Strong foundation in Data Structures and Algorithms (DSA) with a focus on implementing efficient solutions. • Experienced in AI-first engineering environments, leveraging tools like GitHub Copilot, Augment, and Cursor to accelerate development. • Preferred: Experience with Django/FastAPI/Flask or similar Python web frameworks; Frontend experience (TypeScript/React) with AI-first interfaces; Domain expertise in biomarker data and life sciences.