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Full-Time

Full Stack AI Engineer

Remote

Confirmed live in the last 24 hours

Nexla

Nexla

51-200 employees

Metadata-driven data integration platform for organizations

Data & Analytics
Enterprise Software

Mid

Remote in USA

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Python
JavaScript
React.js
MySQL
NoSQL
Tensorflow
Pytorch
SQL
Docker
TypeScript
AWS
Next.js
FastAPI
REST APIs
Google Cloud Platform
Requirements
  • 3+ years in full-stack software development, with a focus on AI and machine learning applications.
  • Proficiency in React, Next.js, or similar frameworks; solid knowledge of JavaScript/TypeScript.
  • Strong experience with Python, FastAPI and experience building RESTful APIs and microservices.
  • Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience integrating LLM models into production.
  • Proficiency in SQL and NoSQL databases such as MySQL and Pinecone.
  • Strong problem-solving abilities and the ability to work in a fast-paced startup environment.
  • Excellent communication skills and experience in collaborative, cross-functional teams.
Responsibilities
  • Build and maintain AI-powered features in our platform, integrating machine learning models to solve complex data problems.
  • Create user-friendly, responsive UIs using modern JavaScript frameworks (React) to enhance the user experience.
  • Build scalable and efficient server-side applications using Python, FastAPI and manage cloud-based microservices.
  • Use LLM for solving business needs, optimizing them for real-time use cases and scaling them in production.
  • Develop and maintain data pipelines for AI applications, ensuring seamless data ingestion and processing.
  • Utilize AWS or GCP to manage cloud resources, automate deployments, and ensure scalability using Kubernetes and Docker.
  • Work cross-functionally with product managers, UX/UI designers, and other engineers to align technical solutions with business goals.
  • Implement best practices for data security and privacy, ensuring compliance with regulations.

Nexla provides a platform for data integration that focuses on improving scalability, efficiency, and agility for organizations. The platform allows data engineers and business users to transform and deliver data without the need for unnecessary duplication or potential failure points. It serves a variety of clients, including large enterprises and data-focused businesses, who need effective solutions to manage the rapid growth of data. Nexla operates on a Software as a Service (SaaS) model, charging subscription fees for access to its platform and additional services. The core functionality of Nexla's product is based on metadata, which helps represent data stores, leading to better efficiency, lower costs, and enhanced reliability. To support users, Nexla provides extensive documentation, API references, and developer guides to help with the integration and use of its platform.

Company Stage

Series A

Total Funding

$33.5M

Headquarters

San Mateo, California

Founded

2016

Growth & Insights
Headcount

6 month growth

14%

1 year growth

45%

2 year growth

155%
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Simplify's Take

What believers are saying

  • Nexla's recent $18 million Series B funding and cash-flow positive status indicate strong financial health and growth potential.
  • The acquisition of Fidap enhances Nexla's capabilities in providing clean data for advanced analytics and machine learning, broadening its service offerings.
  • Recognition by Gartner as a Strong Performer and Representative Vendor boosts Nexla's credibility and market positioning.

What critics are saying

  • The competitive landscape in data engineering and integration is intense, with numerous established players and new entrants.
  • Integrating acquisitions like Fidap poses challenges in maintaining a cohesive company culture and seamless technology integration.

What makes Nexla unique

  • Nexla's focus on data engineering automation and the creation of internal data marketplaces sets it apart from traditional data management platforms.
  • The company's slow and steady growth strategy, achieving cash-flow positive status early, contrasts with the high-burn rate approach of many startups.
  • Nexla's ability to integrate with platforms like Databricks and offer reverse ETL solutions enhances its versatility and appeal to enterprise customers.

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