Scispot is a Canadian startup revolutionizing biotech data infrastructure by merging technology with biotech and AI. The role focuses on fine-tuning, researching, and training AI models specific to lifescience and diagnostics to improve lab data capture and processing.

Company: Scispot

Role: Product Engineer - AI (R&D)

Experience:

0–3 years of hands-on AI/ML experience
Recent graduate or early-career candidate

Key Skills:

Python
PyTorch
scikit-learn
API development
FastAPI
Flask
machine-learning models
AI pipelines
LLMs
ETL
NLP
OpenSearch
vector databases
AWS EKS
Docker
Kubernetes
CI/CD

Qualification:

Bachelor’s or Master’s in CS, Engineering, Data Science, or related field
Legal right to work in Canada (valid work permit or protected status)

Role Focus:

Fine-tune, research, and train AI models specific to lifescience and diagnostics
Develop machine-learning models for experiment data
Build Python services and APIs
Integrate AI tools with lab workflows
Collaborate with scientists to refine solutions
Write clean, tested code
Automate data pipelines for lab results using AI and orchestration
Feed AI outputs into a memory layer suggesting transformations based on assay type and instruments
Enhance Recommendation AI using prompt engineering and AI pipelines with LLMs
Scale API and GLUE Layer with strong ETL support
Build SDK framework for Scispot APIs
Introduce NLP for instrument integration
Suggest telemetry improvements for infrastructure health monitoring
Develop graphical chain of custody for querying sample journeys
Grow and maintain AWS EKS cluster
Increase backend unit test coverage
Develop MCP layer for AI agents to take simple actions for scientists
Improve search with OpenSearch and vector databases
Build memory layer for AI agents to reduce reliance on retrieval-augmented generation
Lead core application team overseeing tech vision, architecture, and development
Develop app store for instrument connectors

Additional responsibilities:

Mentor and guide teams
Work on R&D projects impacting customer data capture from instruments

Nice to have:

Familiarity with cloud platforms (AWS EKS, S3)
Exposure to lab data formats (CSV, JSON, instrument files)
Experience with CI/CD and containerization (Docker, Kubernetes)
Knowledge of natural-language processing or computer vision

Other:

Competitive salary
Flexible hours and hybrid work
Mentorship from experienced AI and biotech experts
Access to Communitech and Velocity programs
Health benefits and generous stock options
Budget for training
Opportunity to shape the future of scientific research
Chance to build next-gen AI tools for lab workflows
Leadership role with high autonomy
Fast-paced startup environment

Product Engineer - AI

Skills Required

Description