Principal Engineer – AI and Full Stack

Scispot; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Stock options

Growth potential

Job summary

Scispot is seeking an AI Engineer to lead the design and delivery of AI-enabled, full-stack biotech workflows. This principal-level role blends hands-on engineering with architectural direction, mentoring, and close collaboration with product and engineering teams in a fast-moving environment.

You will shape systems, set technical direction, build AI pipelines using LLMs and agentic patterns, and ensure scalable, reliable microservices.

Qualifications

• Experience leading AI-enabled full-stack products.
• Strong architectural design and systems thinking.
• Ability to mentor engineers and guide complex initiatives.

Responsibilities

• Lead the design and delivery of full-stack capabilities that help organize, connect, and work with complex biotech data.
• Make architectural and technology decisions across application services, AI systems, APIs, and data workflows.
• Design and build AI pipelines using large language models and agentic patterns for practical laboratory or research use cases.
• Establish sound approaches to microservices, scalability, reliability, and maintainability.
• Work across engineering and product teams to turn ambiguous problems into clear technical solutions.
• Mentor engineers, guide implementation quality, and provide technical leadership on challenging initiatives.

Skills

AI system design

Full-stack development

Technical leadership

Job description

AI Engineer Work from anywhere; ideally based in Canada

Job details

Eligibility

Work from anywhere; ideally based in Canada

Employment

Not specified

About this role

Role overview

Serve as a technical leader building AI-enabled and full-stack products for scientific data and laboratory workflows. This principal-level position combines hands-on engineering with architectural direction, technical mentoring, and close collaboration across product and engineering disciplines. The work is suited to someone who enjoys shaping systems and teams in a fast-moving environment with substantial autonomy.

Responsibilities

• Lead the design and delivery of full-stack capabilities that help organize, connect, and work with complex biotech data.


• Make architectural and technology decisions across application services, AI systems, APIs, and data workflows.


• Design and build AI pipelines using large language models and agentic patterns for practical laboratory or research use cases.


• Establish sound approaches to microservices, scalability, reliability, and maintainability.


• Work across engineering and product teams to turn ambiguous problems into clear technical solutions.


• Mentor engineers, guide implementation quality, and provide technical leadership on challenging initiatives.

Nice to have

• Experience with data engineering and orchestration.

Benefits and work setup

• Remote work is supported, with a preference for candidates based in Canada.


• The role offers high autonomy, leadership responsibility, and the opportunity to work on AI tools for scientific and laboratory workflows.


• Stock options and significant growth potential are offered.