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Principal Engineer - AI & Full Stack
Principal Engineer - AI & Full StackRepromptai • Kitchener, Region of Waterloo, CA
Principal Engineer - AI & Full Stack

Principal Engineer - AI & Full Stack

Repromptai • Kitchener, Region of Waterloo, CA
12 hours ago
Job type
  • Full-time
Job description

Scispot is building the digital backbone for scientific discovery. We empower biotech teams by unifying lab operations, data flow, and AI-driven insights.

Role Overview

  • You will own our AIand full-stack engineering efforts
  • You will shape next generation features that help scientists run experiments faster
  • You will guide our platform's scalability and drive new integrations for lab instruments

How will you spend your time?

  • 50% coding and system design (React, Python, Java +AI integration)
  • 20% product iteration and user feedback loops
  • 10% collaboration, planning, and roadmap refinement
  • 10% data engineering, infrastructure and embedding strategies
  • 10% LLM experimentation (prompting, AIpipelines, graph DBs, vector DBs)
  • What You’ll Do

  • Architect and Scale
  • Build robust backend services with intuitive UI / UX (React, Java Spring Boot, AWS, Kubernetes).

  • Develop new AI-based features for enterprise customers.
  • Elevate Our AI Stack
  • Enhance recommendation engines with prompt engineering and LLMs. Building AIpipelines with LLMs.

  • Introduce NLP for seamless instrument integration.
  • Drive Quality and Automation
  • Implement automated tests.

  • Oversee telemetry improvements.
  • Lead and Mentor
  • Collaborate with product, data, and design teams.

  • Grow a team of engineers focused on cutting-edge AI tools.
  • Required Skills

  • Proficiency in Java, Python, React &Javacript
  • Experience deploying to AWS (EKS, Lambda, or EC2).
  • Deep knowledge of AI pipelines, LLMs, and NLP libraries.
  • Familiarity with data stores (OpenSearch, vector databases, graph databases).
  • Strong leadership and communication skills.
  • Bonus Skills

  • Experience with scientific or biotech workflows.
  • Knowledge of advanced ETL, data streaming, or prompt engineering.
  • Your Two Year Roadmap

    Month 1-6, you will :

  • Enhance Recommendation AI
  • Use prompt engineering and AIpipelines 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 AWSEKScluster

  • 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 AIagents

    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.

    Tech Stack :

  • Frontend : React JS and Typescript
  • Backend : Elastic Search, AWS Lambda, Rabbit MQ, Mongo DB, S3, Java Spring Boot
  • Architecture : Microservices integrated with GraphQL and Rest APIs
  • AI Infrastructure : TensorFlow (Proprietary ML) , Azure AI Service, Azure Open AI service, AIPipelines, Programmatic Prompt Engineering
  • Ideal Candidate Profile :

  • Proficient with AWS and its suite of data services.
  • Hands-on experience with tools such as Lambda function, MQ, Java spring boot, Elastic Search, Python, Mongo DB, Dynamo DB, and S3 bucket.
  • Strong programming skills, particularly in Python, Java, React & Javascript.
  • Good understanding of different Agentic AIarchitectures.
  • Good understanding of learning how to build AIpipelines with LLMs.
  • A solid grasp of microservices and associated best practices.
  • Experience in data engineering and orchestration is preferred.
  • Loves working in a fast paced startup environment.
  • Why Join Scispot? :

  • Work from anywhere but ideally based out of Canada.
  • Engage in challenging, impactful work in the realm of biotech data and AI.
  • Competitive stock options.
  • Unlimited growth upside.
  • 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.
  • #J-18808-Ljbffr

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