Senior/Staff/Senior Staff AI Infrastructure & Applied AI Engineer

nexuspeople.ai | ai capability experts • Cork Metropolitan Area

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AI Summary

Design, optimize, and deploy large-scale AI systems including LLM inference platforms and agent-based automation architectures. Build and scale serving frameworks, optimize model performance using PyTorch and CUDA, and integrate models into production workflows. Requires strong Python skills, deep understanding of transformer architectures, and experience in distributed systems or cloud infrastructure.

Key Highlights

Roles available at Senior, Staff, and Senior Staff levels across ML infrastructure and applied AI engineering.

Focus on optimizing LLM serving, inference performance, and agent-based system integration.

Collaborate across research, engineering, and commercial deployment teams to deliver production-grade AI solutions.

Key Responsibilities

Build and scale inference platforms and serving frameworks for large language, vision-language, and diffusion models.

Contribute to LLM serving and orchestration packages such as vLLM, SGLang, TGI, Triton Inference Server, Dynamo, or LLM-d.

Transform and optimise models for efficient inference using PyTorch, ONNX, and graph capture/compilation approaches.

Design and implement specialised kernels and fusion operations for performance-critical workloads.

Analyse and improve throughput and latency across batching, parallelism, KV-cache management, and speculative decoding strategies.

Design agent architectures that decompose complex goals into executable steps and integrate LLMs with external tools.

Profile, debug, and resolve complex performance or stability issues to root cause.

Collaborate with compiler, firmware, platform, and customer-facing teams to move solutions from research through to commercial deployment.

Engage with open-source AI/ML communities to evolve serving and optimisation frameworks.

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Technical Skills Required

Python PyTorch Distributed Systems

Benefits & Perks

Salary, stock, and performance-related bonus

Employee stock purchase scheme

Matching pension scheme

Maternity/Paternity Leave

Education Assistance

Relocation and immigration support

Life, Medical, Income, and Travel Insurance

Subsidised memberships for physical and mental well-being

Bicycle purchase scheme

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Nice to Have

Open-source contributions to any GenAI, LLM serving, or agent-orchestration package.

Experience architecting and developing large-scale distributed systems.

High-level kernel design experience (PyTorch, CUDA, Triton).

Experience with continuous batching, disaggregated serving, or KV-cache management at scale.

Background in numerical methods, accuracy evaluation frameworks, or ML compilers.

PhD in Computer Science, Computer Engineering, Machine Learning, or a related field.

Job Description

The success of any AI initiative depends on one critical factor: people.

Not just skills, but judgement, experience, and the ability to operate in real-world environments. Nexus People is a specialist consulting firm dedicated to supporting organisations build their future with top AI talent & capabilities.

This is an open call to identify candidates across a family of related engineering roles covering the design, optimisation, and deployment of large-scale AI systems. Roles are available at Senior, Staff, and Senior Staff level, spanning two broad areas of focus:

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