Responsibilities

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- 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

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- Adaptable 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. xqbhyrx

- Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.

Qualifications

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- 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

#J-18808-Ljbffr

📌 Staff AI Engineer (Madrid)
🏢 Workato
📍 Madrid