AI Infra Engineer - Serverless LLM

Project People; City of Edinburgh; On-site; GBP 55,000 - 80,000; Full time

Job summary

A tech-focused company is seeking an AI Infra Engineer in Edinburgh to design, develop, and optimize distributed AI systems. The role involves collaboration with cross-functional teams and focuses on innovative AI-driven systems. Candidates should possess a strong understanding of distributed systems, cloud computing, and proficiency in programming languages like Python. A Bachelor's or Master's degree is required, with a preference for PhD holders.

Qualifications

• In-depth understanding of distributed systems and cloud computing.
• Mastery of Python and/or C/C++ programming.
• Good communication and teamwork skills.

Responsibilities

• Design and implement scalable, distributed systems for AI workloads.
• Develop robust software solutions using Python and/or C++.
• Work with teams to rapidly develop proof-of-concept prototypes.

Skills

Distributed systems

Cloud computing

Machine learning

Python

C/C++

Collaboration

Education

Bachelor's or Master's degree in Computer Science

PhD in computer science, distributed systems, machine learning

Tools

Docker

Kubernetes

Job description

Overview

Job Summary

We are seeking AI Infra Engineer to design, develop, and optimize distributed AI systems for serverless AI platforms. The successful candidate will leverage expertise in large language models (LLMs), and system design to build robust, scalable solutions. This role offers a unique opportunity to contribute to innovative AI-driven systems, collaborating with cross-functional teams to deliver high-impact solutions in a fast-paced, research-driven environment.

Responsibilities

• Design and implement scalable, distributed systems to support AI-driven workloads, ensuring high performance and reliability.
• Develop robust software solutions using Python (and potentially C++) to address complex technical challenges in AI and distributed computing.
• Work within a larger team to rapidly develop proof-of-concept prototypes to validate research ideas and integrate them into production systems and serverless infrastructure.
• Work closely with cross-functional teams to participate in developing innovative AI infrastructure, data systems, and cloud computing technologies.
• Implement resource scheduling and orchestration mechanisms to ensure efficient execution of distributed tasks.

Qualifications

Required:

• Education: Bachelor's or Master's degree in Computer Science or a related technical field. (PhD preferred but not required).
• Have an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems.
• Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes).
• Good programming skills, master of at least one language, such as Python, and/or C/C++.
• Good communication and teamwork skills.

Desired:

• PhD in computer science, distributed systems, machine learning, or a related field.
• Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization