Senior AI Systems Engineer: Production-Ready ML & Scale

ITDS; Lisboa; Híbrido; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

ITDS, Lisbon-based, is seeking a Senior AI Systems Engineer to design and deploy scalable AI systems for production environments, including RAG pipelines and multi-step agents. The role requires collaborating with data scientists and building robust MLOps pipelines while ensuring security by design and observability.

You will work in a hybrid Lisbon-based setting, leveraging Python, LangChain, Transformers, and FastAPI, with cloud platforms (AWS, GCP) and container orchestration (Docker,

Qualificações

• 5+ years of experience in software engineering or AI.
• At least 2 years deploying LLM/AI systems to production.
• Proven track record of delivering production AI systems, not just PoCs.

Responsabilidades

• Design and deploy robust AI systems in production with scalability.
• Contribute to end-to-end solution architecture from model selection to API deployment and monitoring.
• Implement MLOps, LLMOps, and AgentOps including CI/CD, prompt versioning, and model registry management.
• Establish monitoring and observability for AI systems including drift, latency, cost and output quality.
• Incorporate Security by Design principles and ensure auditability and traceability.
• Collaborate with Data Scientists to industrialize models and streamline deployment workflows.
• Write comprehensive technical documentation and promote best practices.

Conhecimentos

Python

LLM/AI deployment

CI/CD

MLOps/LLMohs

AI Security by Design

English & French

Cloud platforms

Ferramentas

LangChain

Transformers

FastAPI

AWS

GCP

Docker

Kubernetes

Terraform

Descrição da oferta de emprego

ITDS, Lisbon-based, is seeking a Senior AI Systems Engineer to design and deploy scalable AI systems for production environments, including RAG pipelines and multi-step agents. The role requires collaborating with data scientists and building robust MLOps pipelines while ensuring security by design and observability.

You will work in a hybrid Lisbon-based setting, leveraging Python, LangChain, Transformers, and FastAPI, with cloud platforms (AWS, GCP) and container orchestration (Docker,