We are looking for a Senior Python 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 concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem Design, build, and maintain AI-powered services and APIs, leveraging LLMs (Open AI, 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 Elastic Search 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 Example Projects:



Building an evaluation and observability framework for AI model performance and reliability Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases Designing AI services that process and reason over high‑volume real‑world data at scale Benefits Adaptable Working Arrangements: We want to empower our employees to give us their 110%, and still be able to fully live their personal lives beyond what they do at Workato. Great Employee Benefits: Our employee benefits are designed not just to help everyone at Workato fulfill their basic and tangible needs, but also feel appreciated for their contributions to the company. Professional Development Opportunities: We are invested in the long‑term professional development of our people, beyond what they bring to the table on their first day at work. We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills. Dedicated Wellness & Recreation Time: We make it a point to dedicate time to pause, recharge and get to know each other better. From virtual game nights to fitness sessions, there’s always time for a little fun on the calendars. Bachelor’s or Master’s degree in Computer Science,



Engineering, or a related field, or equivalent practical experience5+ 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 (Postgre SQL, Elastic, Qdrant, or similar)Familiarity with AI/ML system design, including LLM integration and evaluation pipelines Knowledge of Dev Ops and observability practices (CI/CD, monitoring, metrics, and model validation)Postgre SQLLite LLMElastic Search Qdrant Argo CDLLM APIs (Open AI, Anthropic, Qwen, OSS)Kubernetes Python Fast APIGit Hub Actions Langfuse Experience working with multiple LLM providers (Open AI, Anthropic, Qwen, open-source models)Background in developer platforms or AI infrastructure services Familiarity with vector databases, semantic retrieval, and knowledge graph architectures Exposure to Langfuse, Lite LLM, Lang Chain, or similar frameworks Experience developing enterprise-scale Saa S or distributed backend systems Contributions to open-source projects in Python, AI, or infrastructure engineering Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences Collaborative and proactive approach, comfortable working across teams in a dynamic environment Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation Curiosity and a genuine interest in emerging AI technologies and modern backend architectures #J-18808-Ljbffr

📌 Senior Software Engineer (Mlai Services) (Madrid)
🏢 Workato
📍 Madrid