Job Description
AI Engineer (Fluent in Portuguese & English)
Position Overview
We are seeking an AI Engineer to join our Global Analytics team in London. This role is focused on the end-to-end lifecycle of production‐grade AI, from training and fine‐tuning specialized models to architecting high‐performance inference pipelines.
The idóneo candidate views AI as a rigorous engineering discipline. Beyond building models, you will be responsible for writing high‐quality, maintainable Python code and ensuring that every solution—whether a voice agent or a document processor—is built for reliability, low latency, and global scale.
Key Responsibilities
Model Training & Fine‐Tuning: Lead the adaptation of Large Language Models (LLMs) for domain‐specific tasks using techniques like LoRA, QLoRA, and PEFT to balance performance with resource efficiency.
Inference Optimization: Architect and optimize inference pipelines to minimize TTFT (Time to First Token) and maximize throughput. This includes implementing quantization, caching strategies, and efficient batching.




Production Engineering: Build and maintain real‐time AI pipelines using WebSockets and SSE, ensuring seamless low‐latency delivery for voice (ASR/TTS) and text applications.
Architecture & MLOps: Deploy and orchestrate models within containerized microservice architectures (Docker/Kubernetes), ensuring robust monitoring, security, and scalability.
Collaborative Delivery: Work closely with Business Analysts and internal stakeholders to bridge the gap between commercial requirements and technical implementation.
Qualifications
Technical Requirements
Professional Experience: 5+ years in AI/ML engineering with a documented history of moving complex models from research into production.
Python Mastery: Deep proficiency in Python. You have a strong commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit/integration testing.
Generative AI Deep Dive: Hands‐on experience with LLM training cycl

📌 AI Engineer (España)
🏢 Chubb
📍 España