Python - Senior Software Engineer (m/w/d)

As the leader in enterprise orchestration Workato helps businesses globally streamline operations by connecting data processes applications and experiences. Trusted by a community of 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Thats 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.
Quartz ranked us the #1 best company for remote workers

We are looking for a Senior Python Engineer to play a key role in building the core of our AI 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.
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.
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.
Bachelors or Masters 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 track record of building and maintaining production-grade systems using Python.
• Strong understanding of distributed systems API design and data-driven architectures.
• 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).

Experience working with multiple LLM providers (OpenAI Anthropic Qwen open-source models).
Background in developer platforms or AI infrastructure services.
Contributions to open-source projects in Python AI or infrastructure engineering.
Python FastAPI LLM APIs (OpenAI Anthropic Qwen OSS) LiteLLM Qdrant PostgreSQL ElasticSearch Langfuse Kubernetes GitHub Actions ArgoCD

Example Projects
Designing AI services that process and reason over high-volume real-world data at scale.

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