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Senior Research Scientist / AI Systems Architect (Heterogeneous AI Orchestration)

United Kingdom
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AI Summary

Lead groundbreaking research in AI systems orchestration, designing scalable agentic systems and infrastructure for heterogeneous hardware. Focus on failure analysis, memory management, agent coordination, and long-horizon task execution. Publish findings and collaborate across teams to build next-gen AI infrastructure at Callosum.

Key Highlights
Develop principled, evidence-based methods for building agentic AI systems at unprecedented scale
Design experiments to analyze and improve agentic system failures (behavior, traces, activations)
Work across hardware-software boundaries, including emerging silicon (Cerebras, d-Matrix, Intel, etc.)
Build durable evaluation infrastructure for observability, auditing, and benchmarking
Publish research findings for internal and external audiences

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Key Responsibilities
Design experiments to isolate and analyze failures in agentic AI systems (behavioral, trace, and activation-level)
Develop tools for rigorous evaluation of agentic systems, including observability, auditing, and benchmarking frameworks
Research and implement improvements in context management, memory allocation, task decomposition, and inter-agent communication
Collaborate with hardware teams to optimize AI workloads across heterogeneous accelerators (e.g., Cerebras, d-Matrix, NVIDIA)
Publish research findings as company assets and public evidence to shape future AI infrastructure
Work across domain-specific applications and novel model architectures to achieve cost-efficient, low-latency scaling
Technical Skills Required
Large Language Models (LLMs) in agentic settings Multi-agent systems and distributed AI Experimental research methodology (hypothesis testing, ablations, controlled comparisons)

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Benefits & Perks
Competitive salary (£101K–£192K)
Equity and ownership
Private healthcare
Visa sponsorship and relocation benefits
Inclusive workplace with equal opportunities

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Nice to Have
Experience with RL or post-training for long-horizon tasks (e.g., reward design, environment construction)
Deep familiarity with SGLang, vLLM, or comparable inference serving frameworks
Background in neuroscience, distributed systems, economics, or cognitive science
Published track record (first-author work at NeurIPS, ICML, ACL, or MLSys)

Job Description

We’re living through a Cambrian explosion of intelligence: new models and new chips, each specialised for different tasks, are arriving all at once. The result is a new era for AI, one of radical heterogeneity.Callosum is the Intelligent Systems Company. We believe the next generation of AI won't be defined by any single model or chip, but by intelligent systems in which hardware and intelligence co-evolve. We are building the infrastructure that unifies heterogeneous compute across the full stack. This opens a new axis of scaling intelligence: a dynamic system that tailors itself to what each workload actually needs, whether that's speed, cost, precision, or whatever unit comes next.
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Job Overview
Posted Aug 20, 2026
Employment Full-time
Experience Not Applicable
Location United Kingdom
Category Programming
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