Senior Python Engineer

Workato; España; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A tech company based in Spain seeks a Senior Python Engineer to develop core AI systems. The role involves designing and building AI services, optimizing data retrieval, and managing the full software lifecycle. Ideal candidates will have significant experience in Python and distributed systems, coupled with excellent communication skills. You will collaborate with cross-functional teams to deliver scalable, reliable AI solutions, contributing to innovative projects in a dynamic environment.

Formación

• 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.

Responsabilidades

• Design, build, and maintain AI-powered services and APIs.
• Implement and optimize knowledge retrieval systems and agentic search capabilities.
• Drive the full software development lifecycle from design to deployment.

Conocimientos

Proficiency in Python

Distributed systems knowledge

Analytical and problem-solving skills

Excellent communication skills

Educación

Bachelor’s or Master’s degree in Computer Science or related field

Herramientas

PostgreSQL

ElasticSearch

Kubernetes

GitHub Actions

Descripción del empleo

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.

What You’ll Do

• 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.

Qualifications

• 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 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).

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 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

• 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.

Tech Stack

Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

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.