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 ideal 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 integral 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
📌 AI Engineer (Madrid)
🏢 Chubb
📍 Madrid