Tech Stack
AWSCloudDjangoFlaskPythonReactTypeScript
About the role
- 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.