Senior Data Engineer

ITDS; Lisboa; Hybrid; EUR 80,000 - 120,000; Full time

Job summary

ITDS in Lisbon offers a hybrid opportunity for a Senior AI Systems Engineer to design and deploy scalable, production-grade AI systems for banking and regulated environments. You will oversee end-to-end architecture, from model selection to API deployment, monitoring, and optimization.

You should have 5+ years in software or AI, with at least 2 years deploying LLM/AI systems in production, and strong Python skills (LangChain, Transformers, FastAPI).

Qualifications

• 5+ years of software engineering or AI experience.

Responsibilities

• Design and deploy robust AI systems in production for banking/regulatory environments.
• Contribute to end-to-end solution architecture from model selection to API deployment and monitoring.
• Implement MLOps, LLMOps, and AgentOps with CI/CD, versioning, and model registry management.
• Establish monitoring for drift, latency, cost, and output quality of AI systems.
• Integrate AI Security by Design principles ensuring traceability and auditability.
• Collaborate with data scientists to industrialize AI models and deployment workflows.
• Write comprehensive technical documentation and promote best practices within the team.

Skills

Python

LangChain

Transformers

FastAPI

AWS

GCP

Docker

Kubernetes

Terraform

MLOps

LLMOps

AI Security by Design

English

French

Tools

Docker

Kubernetes

Terraform

AWS

GCP

Job description

Unleash the Future of AI — Build Scalable, Production-Ready Systems that Transform Business Impact!

Lisbon-based opportunity with hybrid work model.

As a Senior AI Systems Engineer, you will be working for our client, a leader in innovative AI solutions within the banking and regulated environments. You will play a pivotal role in designing and deploying agentic AI systems, including RAG pipelines, multi-step agents, and large language model workflows, to deliver tangible, high-impact business outcomes. This is your chance to drive technological excellence and shape the next generation of AI infrastructure.

Your main responsibilities:

• Design and deploy robust AI systems in production, ensuring operational excellence and scalability.
• Contribute to end-to-end solution architecture, from model selection to API deployment, orchestration, and monitoring.
• Implement MLOps, LLMOps, and AgentOps best practices, including CI/CD, prompt versioning, and model registry management.
• Establish monitoring and observability frameworks for AI systems, tracking drift, latency, cost, and output quality.
• Integrate AI Security by Design principles, safeguarding systems against prompt injections, ensuring traceability, and maintaining auditability.
• Collaborate with business Data Scientists to industrialize AI models and systemize deployment workflows.
• Write comprehensive technical documentation and promote best practices within the team.

You’re ideal for this role if you have:

• 5+ years of experience in software engineering or AI, including at least 2 years deploying LLM/AI systems to production environments.
• Proven track record of delivering operational AI systems, not just proofs of concept.
• Strong expertise in Python, including frameworks such as LangChain, Transformers, and FastAPI.
• Experience with cloud platforms (AWS, GCP) and infrastructure tools like Docker, Kubernetes, Terraform.
• Deep understanding of MLOps, LLMOps, and AI Security by Design principles.
• Excellent command of English and French (C1 level).
• Eligibility to work in Europe.

It’s a strong plus if you also have:

• Knowledge of regulated financial environments and security standards.

Eligibility for the role:

Only candidates with an existing legal right to work in the European Union will be considered.