Senior AI Agent Harness Engineer: Secure Runtime

SuperApp

San Francisco (CA)

Híbrido

USD 230.000 - 315.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Flexible PTO
Medical, dental, vision insurance
401(k) with matching
Parental leave & fertility benefits
Therapy sessions covered
Wellness stipend
Lunch on Us

Descripción de la vacante

SuperApp is hiring a visionary AI engineer to lead the design and development of the Agent Harness, bridging foundation models with production-grade execution. You will implement state machines, secure sandboxes, and tool-calling middleware to safely run code, search the web, manipulate data, and query databases in real time.

You will work on security guardrails, performance optimizations, and mentorship, shaping a scalable, multi-model collaboration platform used across teams and products.

Formación

  • 6+ years of professional software engineering experience, designing and operating distributed systems.
  • 2+ years of production experience building or modifying agent execution environments or tool-calling frameworks.
  • Expert proficiency in Go and Python with concurrent programming and scalable API design.
  • Strong experience with containerization/virtualization (Docker, Kubernetes) and sandboxing untrusted code.
  • Deep familiarity with message brokers (Kafka/RabbitMQ), Redis, and database design.
  • Bachelor’s or Master’s degree in CS/engineering or equivalent practical systems experience.

Responsabilidades

  • Architect the next-generation Agent Harness execution runtime and state management.
  • Design secure, isolated execution sandboxes (Docker, gVisor, WebAssembly, microVMs).
  • Build high-throughput APIs and integration layers (MCP) to connect to services, DBs, and web tools.
  • Implement robust guardrails against prompt injection and data leakage.
  • Optimize context handling, token usage, and latency in agent loops.
  • Create design documents and mentor engineers across teams.

Conocimientos

Go
Python
Microservices
gRPC
API design
Distributed systems
Docker
Kubernetes
Security
Runtime isolation

Educación

Bachelor’s or Master’s in Computer Science/Engineering

Herramientas

LangChain
AutoGen
Model Context Protocol (MCP)
Docker
WebAssembly

Descripción del empleo

SuperApp is hiring a visionary AI engineer to lead the design and development of the Agent Harness, bridging foundation models with production-grade execution. You will implement state machines, secure sandboxes, and tool-calling middleware to safely run code, search the web, manipulate data, and query databases in real time.

You will work on security guardrails, performance optimizations, and mentorship, shaping a scalable, multi-model collaboration platform used across teams and products.

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