Frontend engineer
130k - 130k USD
On-site
Full Time
#Engineering
#JavaScript
#Python
#React
#TypeScript
#Data Visualization
#Machine Learning
#Postgres
#Redis
#Data Structures
#Algorithms
We are looking for a Senior Frontend Engineer to join our team on a full-time, on-site basis. At Ntropy, our mission is to make large language models viable for real-world applications by developing domain-specific wrappers that drastically reduce costs and latency. We have already successfully launched tools for the financial sector to extract information from bank transactions with super-human accuracy, and we are now expanding our reach to other domains. As a team of about 20 people, we value radical honesty, a lack of over-engineering, and a collaborative spirit as we scale our impact.
Responsibilities
- Develop, test, and maintain vertical analytics products by working across both our frontend and backend systems.
- Collaborate in rapid cycles with our customers to transform new product concepts into high-quality user experiences.
- Partner closely with our platform and machine learning engineers to build the intelligence layers that power our core products.
Requirements
We are looking for a seasoned engineer who is comfortable navigating complex technical challenges. While we value a diverse range of experiences, you will be most successful if you possess the following qualifications:
- Fluency in JavaScript and Python.
- Proven experience working with React and TypeScript stacks.
- Strong grasp of data structures, algorithms, and fundamental software design principles.
- Familiarity with industry-standard databases like Postgres and Redis.
- Experience with data visualization tools and an interest in machine learning concepts.
- A track record of open-source contributions is considered a significant plus.
What we offer
We provide a competitive annual salary of $130,000 USD. Joining us at this stage means you will be an early member of our team, helping to shape our culture, our product, and the future of how companies interact with large language models.
