Workato
Technology
StaffAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff AI Engineer at Workato. Skills: AI platform, Agentic framework, LLMs, ML models. Design AI-powered services. Develop AI-powered services”
Industry & Context.
Problem-solving; Identify performance bottlenecks; Resolve performance bottlenecks; Identify reliability issues; Resolve reliability issues; Identify scaling challenges; Resolve scaling challenges
What They're Looking For.
Must Have
Bachelor's or Master's degree, 5+ years of experience, Proficiency in Python, Understanding of distributed systems, Understanding of API design, Understanding of data-driven architectures, Experience with relational databases, Experience with non-relational databases, Familiarity with AI/ML system design, Familiarity with LLM integration, Familiarity with evaluation pipelines, Knowledge of DevOps practices, Knowledge of observability practices
Nice to Have
Experience with multiple LLM providers, Background in developer platforms, Background in AI infrastructure services, Familiarity with vector databases, Familiarity with semantic retrieval, Familiarity with knowledge graph architectures, Exposure to Langfuse, Exposure to LiteLLM, Exposure to LangChain, Experience developing enterprise-scale SaaS, Experience developing distributed backend systems, Contributions to open-source projects
What You'll Do.
Design AI-powered services
Develop AI-powered services
Maintain AI-powered services
Leverage custom ML models
Develop agentic framework
Implement knowledge retrieval systems
Implement agentic search capabilities
Build shared Python libraries
Maintain shared Python libraries
Collaborate on architecture
Collaborate on internal protocols
Collaborate on API standards
Develop observability
Drive software development lifecycle
Identify performance bottlenecks
Resolve performance bottlenecks
Identify reliability issues
Resolve reliability issues
Identify scaling challenges
Resolve scaling challenges
Participate in code reviews
Participate in technical discussions
Mentor other engineers
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Platform teams; Architecture collaboration; Protocol collaboration; API standards collaboration
Communication Scope
Convey technical ideas
Process & Methodology
Software development lifecycle
Full Job Description
About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a Staff AI Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI c
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