Product Engineer - AI (R&D)

Communitech; Kitchener; Hybrid; CAD 60,000 - 80,000; Full time

Job summary

A leading company in Kitchener is seeking an Entry-Level Product Engineer to develop AI models for life sciences. You will automate data pipelines and collaborate with scientists to enhance lab workflows. This role offers mentorship and flexible hours, contributing to cutting-edge AI applications in diagnostics.

Benefits

Competitive salary

Flexible hours and hybrid work

Mentorship from experienced AI and biotech experts

Health benefits

Generous stock options

Budget for training

Qualifications

• 0–3 years of hands-on AI/ML experience.
• Experience with API development.

Responsibilities

• Develop machine-learning models for experiment data.
• Build Python services and APIs.
• Integrate AI tools with lab workflows.

Skills

Problem Solving

Attention to Detail

Education

Bachelor’s or Master’s in CS, Engineering, Data Science

Tools

Python

PyTorch

scikit-learn

FastAPI

Flask

Job description

4 days ago Be among the first 25 applicants

Scispot.io

Software Engineering, Product, Data Science

Kitchener, ON, Canada

Posted on May 14, 2025

Apply now

Role Overview

You’ll fine-tine, research, and train AI models specific to lifescience and diagnostics. You’ll work on R&D projects that will have meaningful impact on how our customers capture data from instruments. You’ll automate data pipelines for lab results using AI and orchestration. Ultimately, this will feed into a memory layer that suggests scientists what transformations to use based on their assay type and instruments.

The project will directly feed into a meaningful AI full stack app for all diagnostic instruments on this planet. It will help scientists to get to sample results 70% faster and reduce 50% error rate in the process.



Key Responsibilities

• 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.
  
  

Must-Have Qualifications

• Bachelor’s or Master’s in CS, Engineering, Data Science, or related field.
• 0–3 years of hands-on AI/ML experience.
• Proficient in Python and popular ML libraries (e.g., PyTorch, scikit-learn).
• Experience with API development (FastAPI, Flask, or similar).
• Strong problem-solving skills and attention to detail.
• Legal right to work in Canada (valid work permit or protected status).
• Recent graduate or early-career candidate.
  
  

Nice-to-Have

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

What We Offer

• 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
  
  

Your Two Year Roadmap

Month 1-6, You Will

• Enhance Recommendation AI
• Use prompt engineering and AI pipelines with LLMs for better suggestions.
• Aim for performance and scalability.
• Scale API and GLUE Layer
• Build strong ETL support for enterprise loads.
• Build SDK framework for Scispot APIs
• Introduce NLP for Instrument Integration
• Offer script templates so scientists can process data easily.
• Suggest Telemetry Improvements
• Improve monitoring for infrastructure health.
• Graphical Chain of Custody
• Let users query sample journeys with prompts using graph database
  

Month 7-12, You Will

• EKS Migration
• Grow & Maintain AWS EKS cluster
• Automated Testing
• Increase backend unit test coverage.
• MCP Layer for Recommendation
• Allow AI agents to take simple actions for scientists.
• Upgrade Search
• Improve OpenSearch and vector databases.
• Memory Layer for Agents
• Reduce reliance on retrieval-augmented generation by building memory layer for AI agents
  

Month 13-24, You Will

• Lead Core Application Team
• Oversee tech vision, architecture, and development.
• App Store for Instrument Connectors
• Expose our instrument integrations in a user-friendly marketplace.
  

Why You Might Love This Role

• You want to shape the future of scientific research.
• You enjoy solving complex AI challenges.
• You like leading from the front, mentoring, and guiding teams.
• A chance to build next-gen AI tools for lab workflows.
• Leadership role with a high level of autonomy.
  
  

Why You Might Not

• You dislike fast-paced startup environments.
• You prefer strictly defined roles.
  
  

Apply now

See more open positions at Scispot.io

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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