Staff Engineer, Agent Runtime Platform
Copenhagen, Denmark
Posted on Jun 27, 2026
About Embankment
We believe the future of fund management is one where AI agents perform operational work autonomously while humans provide judgment, oversight, and accountability.
Historically, fund teams relied on manual processes, spreadsheets, and fragmented systems to manage complex workflows. Increasingly, operational tasks are being delegated to AI agents, while humans focus on understanding problems, designing systems, and directing execution.
We believe this shift will fundamentally change how financial operations are run.
To support that future, we are building an Agent Runtime Platform: the infrastructure that allows AI agents to perform work safely, reliably, and efficiently at scale across fund management.
This platform will become a foundational capability of the company. It will orchestrate agents, manage long-running workflows, provide visibility into execution, and ensure that work can be delegated with confidence across operational domains.
We are looking for a Staff Engineer to help build it.
The Role
As a Staff Engineer, you will be responsible for the technical direction and execution of the Agent Runtime Platform.
Your mission is straightforward to describe: create a system capable of running large numbers of AI agents in production while maintaining the reliability, efficiency, and operational excellence expected of any critical platform.
You will work across the entire lifecycle of the platform, from architecture and execution models to observability, reliability, security, and cost efficiency. Some of the hardest questions are still unanswered, which is exactly why this role exists.
This role operates at company scope. Success requires working across teams, creating alignment, influencing technical decisions, and helping others build on top of the platform.
What We're Looking For
First and foremost, we are looking for a technical leader.
You have a track record of solving difficult technical problems while helping organizations make better decisions and move faster.
Leadership
You Have
You Have Experience Building And Operating Systems Such As
AI-Native Engineering
You actively use AI agents as part of your daily workflow.
You Are Comfortable
What Success Looks Like After 12 Months
After Your First Year, You Will Have
We believe the future of fund management is one where AI agents perform operational work autonomously while humans provide judgment, oversight, and accountability.
Historically, fund teams relied on manual processes, spreadsheets, and fragmented systems to manage complex workflows. Increasingly, operational tasks are being delegated to AI agents, while humans focus on understanding problems, designing systems, and directing execution.
We believe this shift will fundamentally change how financial operations are run.
To support that future, we are building an Agent Runtime Platform: the infrastructure that allows AI agents to perform work safely, reliably, and efficiently at scale across fund management.
This platform will become a foundational capability of the company. It will orchestrate agents, manage long-running workflows, provide visibility into execution, and ensure that work can be delegated with confidence across operational domains.
We are looking for a Staff Engineer to help build it.
The Role
As a Staff Engineer, you will be responsible for the technical direction and execution of the Agent Runtime Platform.
Your mission is straightforward to describe: create a system capable of running large numbers of AI agents in production while maintaining the reliability, efficiency, and operational excellence expected of any critical platform.
You will work across the entire lifecycle of the platform, from architecture and execution models to observability, reliability, security, and cost efficiency. Some of the hardest questions are still unanswered, which is exactly why this role exists.
- What should agent execution look like at scale?
- How should agents recover from failures?
- How should long-running work be coordinated?
- How do humans remain in control while delegating increasingly complex tasks?
- How do we ensure agent execution remains cost-efficient, particularly with respect to token usage and model interactions?
- How do we build a platform that can evolve as the capabilities of frontier models continue to improve?
This role operates at company scope. Success requires working across teams, creating alignment, influencing technical decisions, and helping others build on top of the platform.
What We're Looking For
First and foremost, we are looking for a technical leader.
You have a track record of solving difficult technical problems while helping organizations make better decisions and move faster.
Leadership
You Have
- Provided technical leadership for a team of at least five engineers as a Tech Lead or Staff Engineer, focusing on guiding architecture and execution rather than people management.
- Driven technical direction for large initiatives spanning multiple engineers or teams.
- Built alignment across stakeholders with differing priorities.
- Influenced decisions through technical judgment rather than organizational authority.
- Mentored and developed other engineers.
You Have Experience Building And Operating Systems Such As
- Internal developer platforms.
- Infrastructure services.
- Workflow orchestration systems.
- Reliability and fault tolerance.
- Concurrency and distributed execution.
- Scalability and performance.
- Security and isolation boundaries.
- Observability and operational excellence.
- Infrastructure efficiency and cost optimization.
AI-Native Engineering
You actively use AI agents as part of your daily workflow.
You Are Comfortable
- Delegating implementation work to agents.
- Reviewing and validating AI-generated code.
- Using agents for research, design, debugging, and implementation.
- Operating in an environment where AI is a core part of the engineering process.
What Success Looks Like After 12 Months
After Your First Year, You Will Have
- Established the technical direction for the Agent Runtime Platform and earned trust as one of its primary technical leaders.
- Shipped a mature version of the Agent Runtime Platform capable of handling production workloads reliably and at scale.
- Enabled product teams to rely solely on the platform to build agents and automation, making it the default foundation across the company.
- Improved the reliability, scalability, and observability of agent execution to support increasingly complex workflows.
- Created clear architectural patterns and engineering standards that allow teams to build on the platform with confidence.