Senior Software Engineer (MLAI services)

Workato; Madrid; Presencial; EUR 80.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working arrangements

Employee benefits

Professional development opportunities

Dedicated training budgets

Descripción de la vacante

Workato is seeking a Senior Python Engineer to design and build production-grade AI-powered services and APIs powering our enterprise automation platform.

You will work closely with product and platform teams to turn advanced AI concepts into reliable, scalable, and secure solutions used across our ecosystem. The role requires hands-on development, collaboration, and a focus on performance and observability.

Formación

• 5+ years of experience as a Software Engineer.
• Strong proficiency in Python and production-grade systems.
• Experience with distributed systems, API design and data-driven architectures.
• Familiarity with relational and non-relational databases (PostgreSQL, Elastic, Qdrant).
• Knowledge of AI/ML system design, LLM integration, and evaluation pipelines.
• DevOps and observability practices (CI/CD, monitoring, metrics).
• Experience with multiple LLM providers (OpenAI, Anthropic, Qwen, OSS).
• Background in developer platforms or AI infrastructure services.

Responsabilidades

• Design, build, and maintain AI-powered services and APIs leveraging LLMs and ML models.
• Develop an enterprise-grade agentic framework for orchestration and retrieval across AI agents.
• Implement and optimize knowledge retrieval using vector databases and search tools.
• Write production-grade Python code and maintain shared libraries across services.
• Collaborate on architecture, API standards, and observability for reliability.
• Drive full SDLC from design to deployment, monitoring, and improvement.
• Mentor engineers and participate in code reviews to uphold engineering excellence.

Conocimientos

Python

API design

Distributed systems

LLM integration

PostgreSQL

ElasticSearch

Qdrant

Kubernetes

FastAPI

DevOps / CI-CD

Educación

Bachelor's or Master's in Computer Science or related field

Herramientas

LLM APIs (OpenAI, Anthropic, Qwen, OSS)

Langfuse / LangChain

ArgoCD

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
• 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
• 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

Benefits

• Flexible Working Arrangements: We want to empower our employees to give us their 110%, and still be able to fully live their personal lives beyond what they do at Workato.
• Great Employee Benefits: Our employee benefits are designed not just to help everyone at Workato fulfill their basic and tangible needs, but also feel appreciated for their contributions to the company.
• Professional Development Opportunities: We are invested in the long‑term professional development of our people, beyond what they bring to the table on their first day at work.

We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.

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

From virtual game nights to fitness sessions, there’s always time for a little fun on the calendars.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience5+ years of experience as a Software Engineer, with strong proficiency in PythonProven track record of building and maintaining production-grade systems using PythonStrong understanding of distributed systems, API design, and data-driven architecturesExperience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar)Familiarity with AI/ML system design, including LLM integration and evaluation pipelinesKnowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation)PostgreSQLLiteLLMElasticSearchQdrantArgoCDLLM APIs (OpenAI, Anthropic, Qwen, OSS)KubernetesPythonFastAPIGitHub ActionsLangfuseExperience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models)Background in developer platforms or AI infrastructure servicesFamiliarity with vector databases, semantic retrieval, and knowledge graph architecturesExposure to Langfuse, LiteLLM, LangChain, or similar frameworksExperience developing enterprise-scale SaaS or distributed backend systemsContributions to open-source projects in Python, AI, or infrastructure engineeringExcellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiencesCollaborative and proactive approach, comfortable working across teams in a dynamic environmentStrong analytical and problem-solving abilities, with a focus on continuous improvement and innovationCuriosity and a genuine interest in emerging AI technologies and modern backend architectures