AI Infra Engineer - Serverless LLM

Project People; Scotland; On-site; GBP 50,000 - 70,000; Full time

Job summary

A tech company in Scotland seeks an AI Infra Engineer to design and optimize distributed AI systems. The role involves developing software solutions, collaborating with teams, and ensuring system performance. Candidates should have a background in Computer Science, preferably a Master's or PhD, and strong programming skills in Python or C++. This position offers a chance to contribute to innovative AI systems in a dynamic environment.

Qualifications

• In-depth understanding of distributed systems and/or cloud computing and/or ML systems.
• Good programming skills, mastering at least one language.
• Experience in developing and maintaining large-scale cloud systems is a plus.

Responsibilities

• Design and implement scalable, distributed systems for AI workloads.
• Develop software solutions to address complex challenges in AI.
• Rapidly develop proof-of-concept prototypes.

Skills

Python

C++

Distributed systems

Cloud computing

Docker

Kubernetes

Communication skills

Teamwork

Education

Bachelor's or Master's degree in Computer Science

PhD in Computer Science (preferred)

Job description

Overview

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.

Key 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.

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