Full Stack AI Engineer, Nexla

Salary not provided

SQL

React

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Python

Tensorflow

Terraform

MySQL

Next.js

PyTorch

FastAPI

Mid and Senior level

Remote from US

Enterprise-grade data and GenAI integration platform

Job no longer available

Enterprise-grade data and GenAI integration platform

21-100 employees

B2CB2BData storageBig dataAnalyticsBusiness IntelligenceSaaSData IntegrationData Analysis

Job no longer available

Salary not provided

SQL

React

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Python

Tensorflow

Terraform

MySQL

Next.js

PyTorch

FastAPI

Mid and Senior level

Remote from US

21-100 employees

B2CB2BData storageBig dataAnalyticsBusiness IntelligenceSaaSData IntegrationData Analysis

Company mission

To empower everyone to get ready-to-use data, hassle-free, and with zero wait.

Job

Company

Role

Who you are

This role requires a blend of AI/ML expertise, full-stack development skills, and cloud infrastructure experience
Experience: 3+ years in full-stack software development, with a focus on AI and machine learning applications
Front-End Skills: Proficiency in React, Next.js, or similar frameworks; solid knowledge of JavaScript/TypeScript
Back-End Skills: Strong experience with Python, FastAPI and experience building RESTful APIs and microservices
Cloud & DevOps: Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines
AI/ML Expertise: Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience integrating LLM models into production
Database Knowledge: Proficiency in SQL and NoSQL databases such as MySQL and Pinecone
Velocity: Strong problem-solving abilities and the ability to work in a fast-paced startup environment
Team Collaboration: Excellent communication skills and experience in collaborative, cross-functional teams

Desirable

NLP Experience: Experience with natural language processing (NLP) models and data, especially relevant to data integration and query processing
DevOps Expertise: Experience with tools like Terraform and Kubernetes for managing infrastructure as code
Data Engineering: Familiarity with building ETL pipelines and working with large-scale data processing

What the job involves

As a full-stack AI Engineer at Nexla, you will design, develop, and implement AI-powered applications that enhance the capabilities of our platform
You’ll work on both front-end interfaces and back-end systems, collaborating with engineers to seamlessly integrate LLM’s into production systems
AI Application Development: Build and maintain AI-powered features in our platform, integrating machine learning models to solve complex data problems
Front-End Development: Create user-friendly, responsive UIs using modern JavaScript frameworks (React) to enhance the user experience
Back-End Development: Build scalable and efficient server-side applications using Python, FastAPI and manage cloud-based microservices
Model Integration: Use LLM for solving business needs, optimizing them for real-time use cases and scaling them in production
Data Pipeline Integration: Develop and maintain data pipelines for AI applications, ensuring seamless data ingestion and processing
Cloud Infrastructure: Utilize AWS or GCP to manage cloud resources, automate deployments, and ensure scalability using Kubernetes and Docker
Collaboration: Work cross-functionally with product managers, UX/UI designers, and other engineers to align technical solutions with business goals
Security & Compliance: Implement best practices for data security and privacy, ensuring compliance with regulations

Our take

The big data and data engineering market is still going extremely strong, growing at over 17% annually. However, the huge increase in available data has caused something of a problem for enterprises, many of which struggle to ensure the quality of their data stores and end up with sub par data flows.

Nexla, which provides automation and low/no-code tooling to help enterprises streamline data operations, finds itself in a very strong position in the market, with an impressive customer list including LinkedIn, Janssen, Instacart, and DoorDash.

Nexla's steady growth since its founding in 2016 reflects its strong position in the data infrastructure space. Strategic moves like the acquisition of Fidap in 2022 and the launch of its Private Data Product Marketplace in 2023 demonstrate Nexla's ongoing commitment to innovation and expansion. These developments show the company's focus on evolving its offerings to sustain momentum and meet the growing needs of modern data-driven organizations.

Freddie

Company Specialist at Welcome to the Jungle

Insights

53% employee growth in 12 months

Glassdoor (5)

Company

Funding (last 2 of 3 rounds)

Jul 2023

$18m

EARLY VC

Oct 2021

$12m

SERIES A

Total funding: $33.8m

Company HQ

Downtown, San Mateo, CA

Leadership

Saket Saurabh

(Co-Founder & CEO)

Co-founded mobile ad execution platform Mobsmith in 2009, which was acquired by The Rubicon Project in 2012. Became Rubicon's Vice President, Mobile after acquisition.

Share this job

View 4 more jobs at Nexla