Senior Staff Systems Engineer at Crusoe - ScoutJobs - The AI-curated global job board
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Posted 12 hours ago

Senior Staff Systems Engineer

CrusoeSenior Staff Systems Engineer

Perks & benefits

Education AllowanceHealth InsuranceHousing AllowanceMobile AllowancePaid Leave

Requirements

10+ years software engineering, 3+ years AI/ML development, Python proficiency, API development, Enterprise integration platforms, LLM API experience, Cloud environments (AWS/GCP/Azure)

Skills

PythonAILLM

About the role

Responsibilities

  • Design and implement agentic AI workflows using a modular, API-first architecture
  • Build autonomous agents that orchestrate workflows across enterprise systems like Salesforce, Coupa, and Slack
  • Architect and integrate a unified data layer for AI agent access across siloed systems
  • Develop integrations, APIs, and custom connectors for scalable AI orchestration
  • Implement MCP connectors and model-agnostic orchestration patterns
  • Design deployment pipelines and lifecycle management systems for AI agents
  • Embed security, data privacy, and compliance guardrails into AI implementations
  • Create reusable templates and tooling to support a Citizen Developer Program
  • Mentor internal teams through code reviews and technical enablement

Requirements

  • 10+ years of software engineering experience
  • 3+ years in AI/ML or AI application development
  • Strong proficiency in Python and API development (REST, GraphQL, webhooks)
  • Hands-on experience with enterprise integration platforms (e.g., Workato, MuleSoft, Zapier)
  • Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini)
  • Deep understanding of agentic architectures, RAG patterns, and prompt engineering
  • Experience designing scalable, distributed systems in cloud environments (AWS, GCP, or Azure)
  • Strong knowledge of microservices, event-driven architecture, and integration design patterns
  • Experience with CI/CD, infrastructure as code, and DevOps practices
  • Understanding of data security, privacy, and compliance (SOC 2, GDPR)

Preferred Qualifications

  • Experience deploying agentic AI systems in production environments
  • Familiarity with Workato or enterprise automation ecosystems
  • Knowledge of Model Context Protocol (MCP)
  • Background in infrastructure, energy, or high-performance computing

Benefits

  • Competitive compensation and Restricted Stock Units
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match up to 4%
  • Paid parental leave and volunteer time off
  • Professional development and tuition reimbursement
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Senior Staff Systems Engineer

Crusoe · San Francisco

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