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.

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.

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.

Senior AI Engineer

Job Description