workato
Staff AI Engineer
At a Glance
- Location
- Barcelona, Spain; Madrid, Spain
- Experience
- 5+ years
- Posted
- 2026-06-05T04:55:23-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- SaaS
Requirements
5+ years of experience as a Software Engineer, with strong proficiency in Python.
Proven track record of building and maintaining production-grade systems using Python.
Strong understanding of distributed systems, API design, and data-driven architectures.
Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
Compensation & Benefits
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
Responsibilities
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 concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem.
Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
About the Company
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
But, we also believe in
balancing productivity with self-care