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# Python Engineer

- **Company:** Workato
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Software as a Service, Code Review, Continuous Integration, DevOps, Programming Tools, Distributed Systems, Elasticsearch, Github, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, Search Technologies, Software Engineering, AI Infrastructure, Large Language Models, Model Validation, Backend, Fastapi, AI Platforms, Kubernetes, Information Technology, Data Analytics, Non-relational Database, Api Design, Microservices
- **Published:** August 15, 2026
- **Apply:** https://es.trabajo.org/oferta-4111-672c7a78e958e6115c639131878f27cb

## About the Role

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. Requirements Qualifications / Experience / Technical Skills, Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or, knowledge graph architectures. Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks. Experience developing enterprise-scale SaaS or distributed backend systems. Contributions to open-source projects in Python, AI, or infrastructure engineering. Soft Skills / Personal Characteristics 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. (REQ ID: 2459)

## Description

AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to: 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, 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. 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). Python * FastAPI * LLM APIs (OpenAI, Anthropic, Qwen, OSS) * LiteLLM * Qdrant * PostgreSQL * ElasticSearch * Langfuse * Kubernetes * GitHub Actions * ArgoCD Preferred Skills Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models). Background in developer platforms or AI infrastructure services. Familiarity with vector databases, semantic retrieval, and


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