5 дней назад
Senior Systems Engineer (AI)
190 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Systems Engineer (AI): Designing and building agentic AI systems that orchestrate automation across enterprise platforms with an accent on API-first workflows, unified data layers, and production deployment. Focus on implementing MCP connectors, scalable distributed integrations, AI security and compliance guardrails, and reusable tooling for citizen developers.
Location: San Francisco, CA, United States; on-site
Salary: $190,000–$230,000 annually plus bonus; restricted stock units included
Company
builds vertically integrated AI infrastructure spanning energy, data centers, cloud services, and AI workloads.
What you will do
- Design and implement modular, API-first agentic AI workflows using Workato ONE, Anthropic Claude, Gemini, and similar platforms.
- Build autonomous agents that orchestrate processes across Salesforce, Coupa, Slack, Google Workspace, and other enterprise systems.
- Architect unified data layers, integrations, APIs, custom connectors, and MCP connectors for scalable AI orchestration.
- Design deployment pipelines and lifecycle management systems for production AI agents.
- Embed security, privacy, and compliance guardrails into AI implementations.
- Create reusable frameworks for the Citizen Developer Program and mentor internal teams through code reviews and training.
Requirements
- 10+ years of software engineering experience, including 3+ years in AI/ML or AI application development.
- Strong Python and API development skills, including REST, GraphQL, and webhooks.
- Experience with enterprise integration platforms such as Workato, MuleSoft, or Zapier.
- Experience with LLM APIs, agentic architectures, RAG patterns, and prompt engineering.
- Experience designing scalable distributed systems in AWS, GCP, or Azure, with knowledge of microservices and event-driven architecture.
- Experience with CI/CD, infrastructure as code, DevOps, and data security, privacy, and compliance requirements including SOC 2 and GDPR.
Nice to have
- Production deployment of agentic AI systems and familiarity with Workato or other iPaaS platforms.
- Google Workspace or Microsoft 365 automation experience.
- Knowledge of MCP or similar interoperability standards and enterprise AI governance frameworks.
- Background in infrastructure, energy, or high-performance computing.
- Open-source AI contributions or technical thought leadership.
Culture & Benefits
- Health, dental, and vision insurance with employer HSA contributions.
- Paid time off, holidays, parental leave, and volunteer time off.
- 401(k) plan with company match up to 4% of salary.
- Professional development, tuition reimbursement, and mental health and wellness support.
- Life insurance, disability coverage, commuter benefits, cell phone stipend, meals allowance, and global travel insurance.
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