Proven experience designing and deploying GenAI and agentic AI solutions using tools such as Databricks Mosaic AI Agent Framework, Azure AI Studio, and Azure OpenAI Service.
Expertise in building production‑grade RAG pipelines, including chunking strategies, vector search, retrieval evaluation, and end‑to‑end optimisation.
Hands‑on experience with Large Language Models (LLMs) in enterprise environments, including prompt engineering, fine‑tuning, guardrail implementation, and responsible AI practices.
Ability to develop and deploy AI agents with tool use, memory, and multi‑step reasoning using frameworks like LangChain, LangGraph, Semantic Kernel, or CrewAI.
Strong LLMOps and MLOps skills, including model evaluation, A/B testing, monitoring, and CI/CD for AI workflows (e.g., Databricks Asset Bundles, GitHub Actions, Azure DevOps).
Proficiency in writing production‑quality Python, with the ability to support AI projects from initial prototype through to production deployment.
Knowledge of AI governance and compliance, including responsible AI principles, bias testing, and maintaining audit trails suitable for regulated industries.
Databricks ecosystem — Unity Catalog, Model Serving, Feature Engineering, Mosaic AI Gateway, Lakebase
Excellent communication skills, able to explain complex AI architectures to senior leaders while also collaborating deeply with engineering teams to troubleshoot technical issues.

Proven experience designing and deploying GenAI and agentic AI solutions using tools such as Databricks Mosaic AI Agent Framework, Azure AI Studio, and Azure OpenAI Service.
Expertise in building production‑grade RAG pipelines, including chunking strategies, vector search, retrieval evaluation, and end‑to‑end optimisation.
Hands‑on experience with Large Language Models (LLMs) in enterprise environments, including prompt engineering, fine‑tuning, guardrail implementation, and responsible AI practices.
Ability to develop and deploy AI agents with tool use, memory, and multi‑step reasoning using frameworks like LangChain, LangGraph, Semantic Kernel, or CrewAI.
Strong LLMOps and MLOps skills, including model evaluation, A/B testing, monitoring, and CI/CD for AI workflows (e.g., Databricks Asset Bundles, GitHub Actions, Azure DevOps).
Proficiency in writing production‑quality Python, with the ability to support AI projects from initial prototype through to production deployment.
Knowledge of AI governance and compliance, including responsible AI principles, bias testing, and maintaining audit trails suitable for regulated industries.
Databricks ecosystem — Unity Catalog, Model Serving, Feature Engineering, Mosaic AI Gateway, Lakebase
Excellent communication skills, able to explain complex AI architectures to senior leaders while also collaborating deeply with engineering teams to troubleshoot technical issues.
Fluency in English (spoken and written).

Industry matching Maternity & Paternity policy
Meal Allowance (Subsídio de Alimentação) via card or payroll, in line with Portuguese practice.
Accident insurance, as standard under Portuguese employment laws.
Private Medical & Dental Care
25 Days Annual Leave, Birthday Leave & Charity Leave
Frequent away days with the team
Annual Bonus Scheme
Flexible Working Hours

Senior AI Consultant

Key skills