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Staff AI Engineer

1 hour, 33 minutes ago
Germany
Full-time
Lead
AI Engineer
Software Development
Argo CD CI/CD Elasticsearch FastAPI GitHub Actions Kubernetes Microservices PostgreSQL Python
Apply Now
Workato

Workato

Workato is the Enterprise Automation Platform that enables seamless integration and automation of workflows for both business and IT teams, utilizing AI-powered technology for efficient outcomes.

IT Services
251-1K
Founded 2013
$415M raised
View All Jobs 28

Description

  • Design, build, and maintain AI-powered services and APIs using LLMs and custom ML models.
  • Develop an enterprise-grade agentic framework for orchestration, retrieval, and collaboration across multiple AI agents.
  • Implement and optimize knowledge retrieval and agentic search systems using vector databases and search technologies.
  • Write efficient, 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 product, platform, and cross-functional teams on architecture, internal protocols, and API standards.
  • Develop monitoring, validation, and observability for production AI solutions.
  • Own the full software development lifecycle from design and implementation through deployment and continuous improvement.
  • Investigate and resolve performance, reliability, and scaling issues in data-intensive systems.
  • Participate in code reviews, technical discussions, and mentoring to raise engineering quality.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 5+ years of experience as a Software Engineer with strong proficiency in Python.
  • Proven experience 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 such as PostgreSQL, Elastic, and Qdrant, or similar.
  • Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
  • Knowledge of DevOps and observability practices, including CI/CD, monitoring, metrics, and model validation.
  • Experience with Python, FastAPI, LLM APIs (OpenAI, Anthropic, Qwen, OSS), LiteLLM, Qdrant, PostgreSQL, ElasticSearch, Langfuse, Kubernetes, GitHub Actions, and ArgoCD.
  • Experience working with multiple LLM providers, including open-source models, is preferred.
  • Background in developer platforms or AI infrastructure services is preferred.
  • Familiarity with vector databases, semantic retrieval, and knowledge graph architectures is preferred.
  • Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks is preferred.
  • Experience developing enterprise-scale SaaS or distributed backend systems is preferred.
  • Contributions to open-source projects in Python, AI, or infrastructure engineering are preferred.
  • Excellent communication skills for explaining complex technical ideas to technical and non-technical audiences.
  • Collaborative and proactive approach, with comfort working across teams in a dynamic environment.
  • Strong analytical and problem-solving abilities with a focus on continuous improvement and innovation.
  • Curiosity and genuine interest in emerging AI technologies and modern backend architectures.

Benefits

  • Flexible, trust-oriented work culture with strong ownership.
  • Balanced approach to productivity and self-care.
  • Vibrant and dynamic work environment.
  • A wide range of employee benefits for work and personal life.
  • Remote-friendly environment recognized by Quartz as the #1 best company for remote workers.

Interested in this position?

Apply directly on the company website

Apply Now

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