Full-Stack AI Developer -- Onsite Los Angeles

Motion Recruitment
Los Angeles, CA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Applications Architecture Application Performance Management Microsoft Azure Big Data Machine Learning Node.Js Azure Machine Learning Software Engineering
+8 more
Data Streaming Systems Architecture Systems Integration Cloud Platform System ReactJS Backend Api Design Data Pipelines

Job description

  • Design, develop, and support scalable full stack applications using Node.js and React, with a primary focus on integrating AI/ML capabilities (30%)
  • Build, deploy, and operationalize machine learning models and AI-driven features across internal systems and customer-facing platforms (30%)
  • Develop backend services, APIs, and data pipelines to enable real-time, data-intensive logistics workflows (15%)
  • Contribute to system architecture decisions, optimizing application performance, scalability, and ML model efficiency within cloud environments (10%)
  • Connect third-party data sources, ML services, and internal tools to expand predictive and analytical functionality (10%)
  • Work cross-functionally with engineering, product, and business teams while helping establish best practices for AI implementation and system design (5%)

Requirements

We are specifically targeting Machine Learning Engineers who have hands-on experience working within Node.js-driven environments and are skilled at bringing ML models into production within scalable application architectures., * 7+ years of professional experience in software engineering with a strong emphasis on full stack application development

  • Proven experience working with Node.js and React in production-scale environments
  • Hands-on experience developing, deploying, or integrating machine learning models or AI-based solutions
  • Experience embedding ML models into production systems within Node.js or JavaScript-based backend architectures
  • Strong understanding of system design, API development, and distributed application architecture
  • Experience working with large-scale datasets, streaming data, or complex data pipelines
  • Familiarity with cloud ecosystems such as AWS, GCP, or Azure, ideally supporting AI/ML workloads
  • Background in logistics, supply chain, transportation, or other data-heavy industries is a plus
  • Strong analytical mindset with the ability to solve complex technical challenges in fast-paced environments
  • Excellent communication skills with the ability to collaborate across technical and non-technical teams

Benefits & conditions

  • Competitive base salary along with bonus and/or equity opportunities
  • Comprehensive health benefits including medical, dental, and vision coverage
  • Opportunity to build and scale AI-powered systems transforming logistics and supply chain operations
  • Highly collaborative engineering culture with strong ownership and professional growth opportunities
  • Flexible hybrid or onsite work environment based on team and location requirements

About the company

We are partnered with a fast-scaling logistics and supply chain technology organization that is building sophisticated, AI-powered platforms to transform and streamline complex operational processes. Their solutions combine advanced machine learning, automation, and modern software engineering to enable smarter, data-driven decision-making across logistics, warehousing, and transportation. The engineering team thrives in a collaborative, high-velocity environment where developers take on meaningful ownership and contribute directly to impactful, AI-enabled products that drive real business results.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

45 sec

Working securely with Node.js path application programming interfaces

Sonya Moisset · World Congress 2023

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

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