Senior Systems Engineer
$190k - $230k • San Francisco, CA - US • FullTime
Posted 5mo ago
About the job
Crusoe is seeking a Senior Systems Engineer to play a key role in executing the company's Enterprise AI Strategy. This role involves designing and building agentic AI systems to move the organization from simple information retrieval to orchestrated, multi-system automation. You will operate at the intersection of AI, enterprise systems, and integration platforms, building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.
Responsibilities
- Design and implement agentic AI workflows using a modular, API-first architecture across platforms like Workato ONE, Anthropic Claude, and Gemini.
- Build autonomous agents that orchestrate workflows across enterprise systems (e.g., Salesforce, Coupa, Slack, Google Workspace).
- Architect and integrate a unified data layer for AI agents to access and act on data across siloed systems.
- Develop integrations, APIs, and custom connectors for scalable AI orchestration across business platforms.
- Implement MCP connectors and model-agnostic orchestration patterns.
- Design deployment pipelines and lifecycle management systems for AI agents in production.
- Embed security, data privacy, and compliance guardrails into all AI implementations.
- Create reusable templates, frameworks, and tooling to support a Citizen Developer Program.
- Mentor internal teams through code reviews, training, and technical enablement.
- Evaluate emerging AI technologies and prototype next-generation capabilities.
Requirements
- 10+ years of software engineering experience, including 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, or similar).
- 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 considerations (SOC 2, GDPR).
Benefits
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location