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

Versátil 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

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📌 Staff AI Engineer (Madrid)
🏢 Workato
📍 Madrid