Staff AI Engineer

Workato; Madrid; Presencial; EUR 60.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible Working Arrangements

Health Insurance

Employee Assistance Programme

Professional Development Opportunities

Descripción de la vacante

Workato is seeking a Staff AI Engineer based in Madrid to build and optimize their AI platform. In this technical role, you will design and implement systems for intelligent automation, collaborating across teams to ensure reliability and scalability.

The ideal candidate has over 5 years of experience in software engineering, particularly with Python and DevOps practices. Benefits include flexible working arrangements and professional development opportunities.

Formación

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.
• Experience with relational and non-relational databases such as PostgreSQL and Elastic.
• Strong understanding of API design and data-driven architectures.

Responsabilidades

• Design and develop production-grade systems powering intelligent automation.
• Collaborate closely with product teams to implement AI concepts into scalable solutions.
• Write efficient Python code for internal tools and services.

Conocimientos

Proficiency in Python

DevOps practices

AI/ML system design

Distributed systems knowledge

Problem-solving abilities

Strong communication skills

Educación

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

Herramientas

FastAPI

PostgreSQL

ElasticSearch

Kubernetes

GitHub Actions

ArgoCD

Descripción del empleo

Responsibilities

• We are looking for a Staff AI 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 (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 optimise 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
• Example Projects – Building an evaluation and observability framework for AI model performance and reliability
• Example Projects – Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools
• Example Projects – Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases
• Example Projects – Designing AI services that process and reason over high‑volume real‑world data at scale

Benefits

• Flexible Working Arrangements: We maintain a hybrid remote work model and provide everyone with best of breed technology tools that enable them to work anywhere, anytime.
• Great Employee Benefits: Such as an Employee Assistance Programme (EAP), Health Insurance, Referral Bonuses, and Workato Stock Options, tailored to the countries that our employees are based in.
• Professional Development Opportunities: We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
• Recreation Time: From virtual game nights to fitness sessions, there’s always time for a little fun on the calendars.
• Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.

Qualifications

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