ITDS

AI data engineer in banking

In short

A senior AI systems engineer role designing and deploying agentic AI systems (RAG pipelines, multi-step agents, LLM workflows) for a client in banking and regulated environments, in hybrid Lisbon. The role covers end-to-end solution architecture, MLOps/LLMOps/AgentOps practices, and AI security by design. Requires 5+ years of software/AI engineering experience, 2+ years deploying LLM/AI systems to production, strong Python skills (LangChain, Transformers, FastAPI), cloud/infra experience (AWS, GCP, Docker, Kubernetes, Terraform), and C1-level English and French.

About the Role
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.
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.
Requirements
•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.
Nice to Have
•Knowledge of regulated financial environments and security standards.
•Experience with GCP, JavaScript/TypeScript, or advanced research paper analysis.
Conditions
No conditions stated in the posting.

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