Staff AI Engineer
Workato
Amsterdam
2 days ago
Staff AI Engineer
Workato, a leader in enterprise automation and AI, seeks a Staff AI Engineer to build the core of its AI platform in Amsterdam. This hands-on role involves designing production-grade systems for intelligent automation, agentic workflows, and large-scale retrieval, requiring 5+ years of Python experience and deep AI/LLM expertise.
On-site
Full-time
Entry Level
Python
FastAPI
Salary
Not specified
Core Qualifications
Technical (Must-have)
PythonFastAPILLM APIs (OpenAI, Anthropic, Qwen, OSS)LiteLLMQdrantPostgreSQLElasticSearchLangfuseKubernetesGitHub Actions
Soft Skills
Excellent communication skillsCollaborative and proactive approachStrong analytical and problem-solving abilitiesCuriosity and genuine interest in emerging AI technologies
Tools (Must-have)
ArgoCD
Preferred Qualifications
Technical (Nice-to-have)
Multiple LLM providers experienceDeveloper platforms or AI infrastructure servicesVector databases, semantic retrieval, knowledge graph architecturesLangfuse, LiteLLM, LangChain or similar frameworksEnterprise-scale SaaS or distributed backend systemsOpen-source contributions in Python, AI, or infrastructure engineering
Key Responsibilities
- 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.
- Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
- Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
- Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
- Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
- Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
- Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
- Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
Staff AI EngineerSoftware DevelopmentEngineering and Information TechnologyAILLMPythonKubernetesCloudEnterpriseAmsterdam