Staff Backend Engineer

JR United Kingdom; England; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading AI company is seeking a Staff Backend Engineer to design and maintain core infrastructure for AI applications. The role involves collaborating with machine learning engineers and data scientists to create scalable backend systems. Candidates should have extensive experience in backend development, particularly with Python and various database technologies, and will work in a dynamic environment focused on innovation and real-world problem-solving.

Benefits

Competitive compensation

Flexible working environment

Career growth opportunities

Latest tools & technologies

Qualifications

• 8+ years of experience in backend development.
• Strong experience with Python and RESTful APIs.
• Proficiency in SQL and NoSQL databases.

Responsibilities

• Design, develop, and maintain backend systems and APIs.
• Optimize database architectures for AI model training.
• Collaborate with cross-functional teams to integrate AI models.

Skills

Python

RESTful APIs

GraphQL

gRPC

SQL

NoSQL

AWS

GCP

Azure

Docker

Kubernetes

Distributed computing

Microservices architectures

Problem-solving

Education

Bachelor's or Master’s degree in Computer Science

Tools

Terraform

Ansible

Kafka

RabbitMQ

Job description

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Job Location: Abu Dhabi, UAE [Only Apply if you are interested in Relocation To UAE]

About Us:

AI71, a pioneering AI company launched by Abu Dhabi's Advanced Technology Research Council (ATRC) and VentureOne, is a significant movement in AI innovation. Utilizing the top-ranked Falcon AI models from the Technology Innovation Institute, AI71 focuses on multi-domain advancements, initially targeting sectors like medical, education, and legal. We excel in transforming innovation into impact. If you're eager to lead a world-class software engineering team at the intersection of AI and venture building, AI71 is the right place for you.

Job Description:

We are seeking a highly skilled Staff Backend Engineer to design, build, and maintain the core infrastructure for AI-powered applications. You will collaborate with machine learning engineers, data scientists, and frontend developers to create scalable, secure, and efficient backend systems that support advanced AI capabilities.

Key Responsibilities:

1. Design, develop, and maintain backend systems and APIs for AI-driven applications.
2. Optimize database architectures and data pipelines for efficient AI model training and inference.
3. Implement secure authentication, authorization, and data protection mechanisms.
4. Collaborate with cross-functional teams to integrate AI models into production environments.
5. Ensure system scalability, reliability, and performance through robust infrastructure design.
6. Develop monitoring and logging tools for tracking system health and model performance.
7. Write clean, efficient, and well-documented code following best practices.

Required Qualifications:

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
• 8+ years of experience in backend development, with expertise in Python.
• Strong experience with RESTful APIs, GraphQL, or gRPC.
• Proficiency in database design and management (SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis).
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Experience with distributed computing and microservices architectures.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

• Knowledge of message queues (Kafka, RabbitMQ) and event-driven architectures.
• Exposure to LLMs, vector databases, and AI inference optimization.
• Understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, Ansible).
• Familiarity with MLOps and AI model deployment pipelines is a plus.

Why Join Us?

• Work on cutting-edge AI applications with a talented and passionate team.
• Opportunity to innovate and solve real-world challenges using AI.
• Competitive compensation, benefits, and career growth opportunities.
• Flexible working environment and the latest tools & technologies.