Member of Technical Staff - Engineering

Patronus AI
San Francisco
Workplace: OnsiteFull timeUSD 175,000 - 300,000 annuallyFunction: Software EngineeringEducation: mastersSkills: ["Ownership","Product judgment","Independence","Systems thinking","Rapid learning"]

Build end-to-end systems and infrastructure for simulation research and agent training. Work across the full stack—frontend interfaces, backend services, APIs, and ML/agent integrations—turning ambiguous research goals into robust production platforms. Create agent environments and orchestration for running thousands of trajectories, deploy and serve models, and develop internal platforms and developer tools (including AI coding automations) to accelerate researchers and engineers.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Patronus AI
Patronus AI
1 day ago

Member of Technical Staff - Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build end-to-end systems and infrastructure for simulation research and agent training. Work across the full stack—frontend interfaces, backend services, APIs, and ML/agent integrations—turning ambiguous research goals into robust production platforms. Create agent environments and orchestration for running thousands of trajectories, deploy and serve models, and develop internal platforms and developer tools (including AI coding automations) to accelerate researchers and engineers.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build agent environments and simulations end-to-end, including frontend interfaces, backend services, APIs, data models, and tools used to train and evaluate AI agents.
  • •Develop infrastructure powering an agent gym, including orchestration, sandboxing, packaging, benchmarking, and heterogeneous execution across targets.
  • •Create internal platforms and developer tools for researchers and engineers, including backends, dashboards, CLIs/SDKs, review agents, codegen helpers, and workflow automations.
  • •Build and operate ML infrastructure for deployment and serving, evaluation systems, GPU workloads, and services that make compute accessible.
  • •Own systems from ambiguous idea through production: define the problem, make architectural decisions, implement, instrument, and iterate based on real-world performance.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Track record shipping non-trivial software end-to-end as an individual contributor, ideally in a startup or high-velocity team.
  • •Strong engineering fundamentals with meaningful depth in at least one area: backend/infrastructure, frontend/product engineering, or ML systems; able to work across boundaries.
  • •Experience building production systems in languages such as Python, Go, and/or TypeScript, and quickly ramping on unfamiliar stacks.
  • •Hands-on experience with modern LLMs and agents at the application level (e.g., tool calling, agent loops, context management, evaluation).
  • •BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, or a related quantitative field, or equivalent experience.
Experience:AILLMsAgents
Education:Master's
Skills:OwnershipProduct judgmentIndependenceSystems thinkingRapid learning
Languages:English
Tech Stack:PythonGoTypeScriptReactNext.jsRelational databasesAPI frameworksAPIsKubernetesContainersCI/CDCloud infrastructureMLOpsLLMOpsExperiment trackingModel registriesObservabilityGPU workloadsOrchestrationSandboxing

Company Brief

Patronus AI
Develops AI-driven cybersecurity agents that automate threat detection, investigation, and response for security operations teams, using autonomous workflows and contextual analysis to reduce incident response time and operational burden.
Industry: Cybersecurity
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: San Francisco, United States
Founded: 2022
WebsiteLinkedIn