Senior Full-Stack AI Engineer

NCube Ltd; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Vacation days up to 20

Sick leave 10 days

Holidays off

Direct customer cooperation

Dynamic environment

Challenging projects

Senior-level collaboration

Job summary

NCube Ltd is seeking a Senior Full-Stack AI Engineer to join our US-based client’s team, a logistics company delivering end-to-end express shipping. You will help build scalable backend services with Python/Django and frontend with React, leveraging GenAI to accelerate development and reduce boilerplate.

You will design AI-powered solutions, optimize data models and APIs, and ensure production reliability with AWS, CI/CD, and observability tools.

Qualifications

• Experience with Python and Django building scalable backend services and APIs.
• Hands-on frontend development with React.
• Experience designing AI/LLM-powered solutions and integrating AI into existing backends.
• Strong knowledge of REST APIs, databases, data modeling and performance optimization.
• Experience with asynchronous processing using Temporal or Celery.
• Hands-on with AWS, CI/CD, and production monitoring/observability.
• Experience using Claude Code and Codex in development workflows.
• Excellent English communication.

Responsibilities

• Design, build and maintain scalable backend and frontend services using Python/Django and React.
• Modernize and replatform the existing architecture while extending the platform.
• Develop AI-powered solutions on top of existing APIs for end-to-end logistics use cases, including human-in-the-loop workflows.
• Develop and optimize data models, API performance, and third-party integrations.
• Build and maintain asynchronous workflows with Temporal, Celery or similar.
• Collaborate with Product and Operations to translate requirements into features and review code.
• Support deployment, monitoring and reliability using AWS, GitLab CI, DataDog and Sentry.

Skills

Python

AI/LLM integration

REST APIs

Relational databases

Data modeling

English communication

GenAI

logistics domain experience

Product collaboration

Tools

Django

React

Temporal

Celery

AWS

CI/CD

DataDog

Sentry

Claude Code

Codex

Job description

We are looking for a Senior Full-Stack AI Engineer to join our US-based client’s team – a logistics company that provides an end-to-end express delivery infrastructure, specializing in e-commerce shipping. Utilizing underused cargo space on narrowbody aircraft like Boeing 737s for middle-mile transport, they combine air and ground services (UPS, FedEx, USPS, etc.) to deliver packages across the U.S. within two business days, all at competitive ground rates.
They’re building a team of curious, adaptable engineers who thrive on using GenAI to accelerate development, reduce boilerplate, and drive innovation across diverse projects, including native apps, frontend, backend, and our infrastructure.

Requirements:

• Strong experience with Python and Django, building scalable backend services and APIs
• Hands-on frontend development experience with React
• Hands-on experience designing and developing AI/LLM-powered solutions, including integrating AI capabilities into existing backend systems and APIs
• Solid experience with REST APIs, third-party integrations, relational databases, data modeling, and performance optimization
• Experience with asynchronous/background processing using Temporal, Celery, or similar technologies
• Hands-on experience with AWS, CI/CD, and production monitoring/observability
• Practical experience using Claude Code and/or Codex as part of the development workflow, including working with multiple AI coding sessions in parallel
• Strong communication skills and Upper-Intermediate+ English.

Nice to have:

• Experience with logistics, transportation, delivery, or supply-chain products
• Experience with modernizing or replatforming existing systems
• Experience building human-in-the-loop AI workflows for real-world operational processes.

Responsibilities:

• Design, build, and maintain scalable backend and frontend services and APIs using Python/Django and React
• Modernize and replatform the existing solution architecture while extending the current platform
• Design and develop AI-powered solutions on top of existing APIs to support end-to-end logistics use cases, including human-in-the-loop workflows
• Develop and optimize data models, API performance, and integrations with third-party delivery and logistics networks
• Build and maintain asynchronous workflows and background processing using Temporal, Celery, or similar technologies
• Collaborate with Product and Operations teams to translate business requirements into production-ready features and contribute to architecture decisions and code reviews
• Support deployment, monitoring, and production reliability using AWS, GitLab CI, DataDog, and Sentry.

We offer:

• Competitive salary with the regular review
• Vacation (up to 20 working days)
• Sick leaves (10 working days)
• National Holidays as time off
• Direct cooperation with the customer
• Dynamic environment with low level of bureaucracy and great team spirit
• Challenging projects in diverse business domains and a variety of tech stacks
• Communication with Top/Senior level specialists to strengthen your hard skills