Clera

Agent Systems Engineer

San Francisco

No sponsorship$180k-$250kDetected 2 days ago

PythonDistributed SystemsDockerKubernetesMachine LearningLLMsMLOpsSystems EngineeringResearchCommunication

About the role

Design and implement multi-agent system architectures - defining topologies, orchestration layers, tool registries, and scoped persistent state.
Build long-running, harness-based agent platforms rather than ad-hoc LLM API integrations.
Develop behavioral and persona models that simulate goal-directed user archetypes and enable agents to interact with real interfaces.
Implement critique and reflection loops that produce measurable, actionable agent behavior.
Create evaluation frameworks and prompt/reasoning schemas that measure fidelity, surface failure modes, and support both automated and human-in-the-loop (HITL) feedback.
Work closely with research and product to maintain tight research-product feedback loops and iterate rapidly.
You'll design and own systems that govern agent coordination, evaluation, and continuous improvement - turning stochastic research prototypes into robust, observable, production-grade platforms.
Backed at Series A/B stage with strong investor support

5+ years of hands-on experience designing and implementing production-grade distributed systems and agent-based architectures (multi-agent topologies, orchestration, memory, tool registries, and execution).
2+ years shipping agentic LLM systems in production environments.
Experience with containerization and orchestration (Docker, Kubernetes) for large-scale agent infrastructure.
Experience designing behavioral models, goal-directed simulations, evaluation frameworks, and HITL feedback mechanisms.
Ability to translate agent outputs into actionable product decisions
comfort collaborating across engineering, research, and product.
The work sits at the intersection of distributed systems, machine intelligence, and product, and carries a high degree of ownership from day one.

Deep emphasis on systems over prompts: state machines, orchestration layers, and tool-use contracts for reliability and inspectability.
Product intuition that prioritizes signal quality and decision-making impact.
Background in simulation, behavioral research, or user modeling.
Note: Visa sponsorship is not available for this role.
The team also has a presence in London
candidates based in London with regular San Francisco availability may also be considered.
Candidates must be authorized to work in the United States without sponsorship.

The company operates in the AI/ML and agentic simulation space, building platforms that model goal-directed user behavior at scale for regulated, high-stakes industries such as healthcare, finance, and education.

This listing is sourced directly from Clera's careers page and normalized into a canonical job model.