C
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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Crusoe · San Francisco
