Backend Engineer - AI/ML Platforms

Lorien

United States

12 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

computerjobs.com

Tech stack

Agile Methodology Artificial Intelligence Automation of Tests Big Data Code Review Continuous Delivery Continuous Integration DevOps Github Python (Programming Language) Machine Learning Software Maintenance

+17 more

Software Engineering Web Services Google Cloud Cloud Platform System ReactJS Large Language Models Generative AI Git Fastapi Vue.js Build Management Pytest Front End Software Development Api Design Terraform Data Pipelines Docker

Job description

This is an opportunity to work on innovative AI-powered products, helping to design, build, and deploy modern cloud-native applications while collaborating closely with software engineers, data engineers, and machine learning specialists. Responsibilities

Design, develop, and maintain Python-based Back End applications and services
Build and deploy cloud-native infrastructure and application environments
Integrate AI/ML components with Front End applications, data pipelines, and compute platforms
Deliver high-quality, maintainable software using modern engineering best practices
Develop automated testing frameworks and comprehensive technical documentation
Monitor application and service performance, identifying opportunities for optimisation and improvement
Participate in code reviews and contribute to engineering standards across the team
Collaborate with engineers and technical stakeholders to build end-to-end solutions that consume and deliver data products
Support continuous delivery and DevOps practices to ensure reliable releases

Requirements

Strong commercial experience developing Back End applications in Python
Experience developing APIs and web services, ideally using FastAPI
Hands-on experience with cloud platforms, ideally Google Cloud Platform (GCP) and Cloud Run
Strong understanding of Infrastructure as Code using Terraform
Experience writing automated tests using tools such as Pytest
Knowledge of Agile software development methodologies
Strong experience with Git, GitHub, CI/CD pipelines, and modern software engineering practices
A collaborative mindset with excellent communication skills

Desirable Experience

Experience deploying and supporting AI/ML-powered applications
Knowledge of LLMs, NLP, agent-based systems, or Generative AI solutions
Experience working with Docker and containerised environments
Exposure to Front End technologies such as React or Vue
Experience working with scientific, biological, or large-scale data environments
Previous experience providing technical leadership, mentoring, or leading engineering workstreams
Strong understanding of production support, monitoring, and engineering best practices