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Senior Runtime Engineer - Long-Running Agent Systems

United Kingdom
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Design and build stateful, asynchronous agent runtimes for distributed environments. Own durable execution, checkpointing, distributed scheduling, secure tool execution, and end-to-end observability. Requires strong distributed systems background, deep Python expertise, and proficiency in a systems language.

Key Highlights
Build runtime and programming model for long-running agent systems
Develop durable execution, checkpointing, and distributed scheduling
Design secure tool execution with sandboxing and isolation
Key Responsibilities
Design and build stateful, asynchronous agent runtimes across distributed environments
Define event histories, checkpoint and resume semantics, deterministic reconstruction, retries, cancellation, timeouts, and recovery from partial failure
Build traces and replay, time-travel debugging, and hierarchical tracing across model calls, tools, handoffs, state changes, and runtime decisions
Develop clear Python APIs, libraries, and DSLs with stable extension points for tools, backends, and new execution models
Design scheduling, placement, backpressure, resource accounting, sandboxing, permissions, and isolation for secure tool execution at scale
Develop tooling for trajectory collection and visualisation, performance profiling, experiment comparison, failure attribution, and regression detection across models, prompts, tools, and runtime versions
Technical Skills Required
Python Rust Distributed Systems
Benefits & Perks
Competitive Salary
Equity & Ownership
Private Healthcare

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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