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Principal Engineer - AI & Full Stack

Remote, USA Full-time Posted 2026-07-02

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

  • You will own our AI and full-stack engineering efforts
  • You will shape reputed company 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, AI pipelines, graph DBs, vector DBs)

What You’ll Do

  • Architect and Scale
  • Build robust backend services with reputed company UI/UX (React, Java Spring Boot, AWS, Kubernetes).
  • reputed company new AI-based features for reputed company customers.
  • reputed company Our AI Stack
  • Enhance recommendation engines with reputed company engineering and LLMs. Building AI pipelines with LLMs.
  • Introduce NLP for seamless reputed company integration.
  • Drive Quality and Automation
  • Implement automated tests.
  • reputed company telemetry improvements.
  • reputed company 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, reputed company, 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 reputed company engineering.

Your Two Year Roadmap Month 1-6, You Will

  • Enhance Recommendation AI
  • Use reputed company engineering and AI pipelines with LLMs for reputed company suggestions.
  • Aim for performance and scalability.
  • Scale API and GLUE Layer
  • Build strong ETL support for reputed company loads.
  • Build SDK reputed company for reputed company APIs
  • Introduce NLP for reputed company 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 reputed company by building memory layer for AI agents

Month 13-24, You Will

  • reputed company Core Application Team
  • reputed company tech reputed company, architecture, and development.
  • App Store for reputed company Connectors
  • Expose our reputed company integrations in a user-friendly marketplace.

Tech Stack

  • Frontend: React JS and Typescript
  • Backend: reputed company Search, AWS reputed company, reputed company MQ, Mongo DB, S3, Java Spring Boot
  • Architecture: Microservices integrated with GraphQL and Rest APIs
  • AI Infrastructure: TensorFlow (Proprietary ML) , Azure AI Service, Azure reputed company service, AI Pipelines, Programmatic reputed company Engineering

Ideal Candidate Profile

  • Proficient with AWS and its suite of data services.
  • Hands-on experience with tools such as reputed company function, MQ, Java spring boot, reputed company Search, Python, Mongo DB, Dynamo DB, and S3 bucket.
  • Strong programming skills, particularly in Python, Java, React & Javascript.
  • Good understanding of different Agentic AI architectures.
  • Good understanding of learning how to build AI pipelines 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 reputed company?:

  • Work from reputed company but ideally based out of Canada.
  • Engage in challenging, impactful work in the realm of biotech data and AI.
  • Competitive stock options.
  • Unlimited growth reputed company.

Why You Might Love This Role

  • You want to shape the future of scientific research.
  • You enjoy solving reputed company AI challenges.
  • You like leading from the reputed company, 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.

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