Senior Frontend Engineer, Qdrant

SaaS Platform

Salary not provided
React
TypeScript
JavaScript
Python
GraphQL
Node.js
Flask
Next.js
REST API
FastAPI
Senior level
Remote in Canada, EU, UK, US
Qdrant

Open-source vector search engine for AI

Be an early applicant

Qdrant

Open-source vector search engine for AI

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Be an early applicant

Salary not provided
React
TypeScript
JavaScript
Python
GraphQL
Node.js
Flask
Next.js
REST API
FastAPI
Senior level
Remote in Canada, EU, UK, US

21-100 employees

B2BArtificial IntelligenceDeep TechMachine LearningAPI

Company mission

Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.

Role

Who you are

  • 5+ years of experience in frontend development with expertise in React, JavaScript/TypeScript, HTML5, and CSS3
  • Solid understanding of web browser technologies and standards: JavaScript, DOM, REST APIs, HTTP2, …
  • Experience working with backend technologies, ideally Node.js/Python and single-page applications (or hybrid)
  • Knowledge of front-end ecosystem tooling for linting, testing, bundling, tracking, delivering JS code and familiarity with CI/CD pipelines
  • Comfortable debugging frontend-backend interactions and optimising both product and runtime performance
  • Excellent communication skills and ability to work cross-functionally with product and engineering teams

Desirable

  • Familiarity with Python frameworks like Flask or FastAPI
  • Familiarity with meta frameworks like Remix, Next.js, and/or libraries like TanStack Router and Query
  • Experience with modular, scalable frontend architectures
  • Knowledge of OAS, GraphQL and/or WebSockets
  • Prior experience working in a SaaS or startup-like environment

What the job involves

  • Join a fast-growing Series A startup, powering the next generation of AI applications with advanced, open-source vector similarity search technology
  • As we grow, we are looking for a Senior Frontend Engineer to take one of the leading roles in building scalable, high-performance frontend apps using React, while also working side-by-side with our backend development team in Python
  • As a Senior Frontend Engineer with a full-stack mindset, you will be responsible for defining, developing and shipping key features of our React-based frontend, whilst also working side-by-side with our Python backend development team
  • Collaborating in the inception, delivery and maintenance in a product cycle to deliver of a seamless user experience
  • The ideal candidate will be comfortable as a full-stack developer with strong focus on the front-end core tasks, delivering excellent DX tooling, CI/CD protocols, testable modules, building on containerisation, improving performance, etc
  • Frontend Development & Architecture: Design, develop, and maintain scalable, reusable frontend components using React and modern JavaScript (TanStack, OpenAPI, TypeScript, etc.)
  • Define and implement best practices for frontend architecture, ensuring high-quality, clean, and performance-optimised code
  • Cross-functional Collaboration & Backend Support: Work closely with backend engineers to optimise APIs and ensure smooth frontend-backend integration. Assist in Python-based backend development when necessary to support frontend features
  • Mentorship & Leadership: Provide technical guidance and leadership, mentoring junior developers and establishing best practices across the team, ensuring adherence to clean, maintainable, and performance-sensitive code that scales effectively
  • Infrastructure Ownership & Code Quality: Take ownership of frontend infrastructure, including deployment, security, testing, lint checks, error reporting, and code quality analysis to ensure deliverability and performance
  • Collaboration with Growth Team: Occasionally work with the Growth team to deliver holistic approaches on product changes affecting churn and ROI, helping to measure, iterate, and improve based on product performance

Our take

In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.

Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.

The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions. This will be invaluable to the company in continuing to innovate and increase their consumer base.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Jan 2024

$28.4m

SERIES A

Apr 2023

$8.3m

SEED

Total funding: $39m

Company benefits

  • Working in a passionate international team
  • Flexible working hours
  • Company events
  • Choose any hardware
  • Remote/home office possible
  • Relocation and visa support (EU Blue Card)
  • A collaborative and supportive work environment with opportunities for growth and advancement
  • The chance to make a significant impact on an innovative technology with the potential to reshape industries

Company HQ

Prenzlauer Berg, Berlin, BE

Leadership

Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.

Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.

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