Senior AI Engineer

QuartzBio Overview:

QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities.

Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions.

Position Summary:

As we continue to expand our software engineering team, we are seeking a Senior AI Engineer You will work with a team of software engineers to design, develop, test and maintain software applications. The successful candidate will have a strong understanding of software architecture, programming concepts and tools, and be able to work independently to solve complex technical problems.

Key Responsibilities (Shared Across Roles)

• Manage projects and initiatives with moderate complexity.
• Collaborate with cross-functional teams (including Product, Design, and Engineering teams) to design, develop, test, and maintain software applications.
• 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 (including performance profiling) existing software applications and develop specifications from business requirements.
• Understand the purpose of new features and help communicate that purpose to team members.
• Write and debug software systems in accordance with software development standards, including the Application Development Lifecycle.
• Debug and troubleshoot complex software issues and provide timely solutions.
• Implement new software features, enhancements, tools and promotes best practices.
• Ensure adherence to software development best practices and processes.
• Write clean, legible, efficient, and well-documented code.
• Lead code reviews and provide constructive feedback to peers.
• Help to support the work of their peers by pair programming, reviewing code, and through mentorship.
• Mentors engineers, guides system design, conducts reviews
• Communicate effectively with team members and stakeholders.
• Contribute to strategic planning and decision-making.
• Other duties as assigned.

When performing duties as AI Engineer Manager:

• Architects and scales GenAI systems for conversational data exploration, addressing real-world biomarker data challenges through production-ready features.
• Designs and implements AI-first architectures, including GenAI pipelines, embeddings, vector search, and semantic search technologies.
• Makes strategic architectural decisions that balance performance, cost, scalability, and maintainability across AI systems.
• Continuously improves AI-powered features, optimizing for accuracy, latency, and user experience.
• Shapes the roadmap for AI experiences, aligning technical innovation with product goals and user needs.

Qualifications (Shared Across Roles)

• 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.
• Other duties as assigned.

Qualifications for AI Engineer Manager Requirements:

• 8+ years of engineering experience, including 8+ years deploying AI/ML/GenAI products in production environments.
• 4-6 years of experience working in a customer-facing role and leading projects.
• 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 for AI Engineer Manager Requirements:

• 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.

Leadership expectations (Shared Across Roles):

• Follows Company's Principles and code of ethics on a day-to-day basis.
• Shows appreciation for individual talents, differences, and abilities of fellow team members.
• Listens and responds with appropriate actions.
• Supports change initiatives and continuous process improvements.
• Communicates effectively and appropriately with colleagues, supervisors and clients.