ai engineer for enterprise generative AI

HireHi

Greater London

On-site

GBP 120,000 - 170,000

Full time

6 days ago
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Benefits offered by this job

Generous PTO and company holidays
Medical and dental insurance
16 Weeks of paid parental leave
Fertility and family planning support
Early-detection cancer testing through
Galleri
Competitive pension scheme
Annual wellness stipend
Learning and development stipend
Off-sites
Company stock options

Job summary

HireHi ищет опытного специалиста по машинному обучению для архитектуры, разработки и развёртывания высокопроизводительных AI‑приложений в продакшн. Ваша работа будет включать интеграцию с WRITER и создание масштабируемых AI‑решений на основе LLM.

Вы будете работать с командами исследований, data science и продукт‑менеджерами, воплощая научные идеи в практические продукты и внедряя безопасные, объяснимые модели для клиентов.

Qualifications

  • 5+ лет опыта в построении ML/AI систем в продакшн.
  • Опыт работы с Python и ML-фреймворками (PyTorch, TensorFlow, JAX).
  • Сильные знания ML/DL архитектур и NLP, включая LLMs.
  • Опыт работы в облаках (AWS, GCP, Azure) и MLOps.
  • Умение писать чистый, эффективный код и решать сложные задачи.
  • Умение работать в команде и добиваться результатов.

Responsibilities

  • Архитектура, разработка и развёртывание высокопроизводительных AI приложений в продакшн, интеграция с платформой WRITER.
  • Развитие интеллектуальных агентов и функций на основе AI, перевод исследовательских идей в практические решения.
  • Сотрудничество с исследователями, data scientist и product менеджерами для определения технических требований и реализации фич.
  • Участие в исследованиях и оценке новых AI технологий, фреймворков и инструментов.
  • Продвижение практик ответственного ИИ: обнаружение смещения, объяснимость и безопасность.

Skills

Python
PyTorch
TensorFlow
JAX
AWS
GCP
Azure
MLOps
Clean coding
Problem solving
Collaboration

Job description

Описание:

WRITER provides an end-to-end enterprise AI platform that enables companies to build and deploy AI agents grounded in their data and powered by enterprise-grade LLMs. Its platform helps IT and business teams use trustworthy AI to improve productivity and drive enterprise-wide transformation.

Задачи:
  • Architect, develop, and deploy high-performance, scalable AI applications in production, integrating them with WRITER's end-to-end platform;
  • Drive the development of intelligent agents and AI-powered features, translating complex research into practical solutions for customers;
  • Collaborate with research scientists, data scientists, and product managers to define technical requirements and deliver features addressing critical business needs;
  • Contribute to research and evaluation of emerging AI technologies, frameworks, and tools;
  • Champion responsible AI practices, including bias detection, explainability, and safety alignment.
Требования:
  • 5+ Years of professional experience building and deploying machine learning or AI systems in production;
  • Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX;
  • Strong foundation in machine learning, deep learning architectures, and natural language processing, particularly large language models;
  • Experience with cloud platforms such as AWS, GCP, or Azure and MLOps tools for managing the AI lifecycle;
  • Ability to write clean, efficient, well-tested code for scalable software systems;
  • Strong problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions;
  • Ability to collaborate across diverse teams, challenge the status quo, and own projects with a commitment to impact and excellence.
Условия:
  • Generous PTO and company holidays;
  • Comprehensive medical and dental insurance;
  • 16 Weeks of paid parental leave for all parents;
  • Fertility and family planning support;
  • Early-detection cancer testing through Galleri;
  • Competitive pension scheme and company contribution;
  • Annual wellness and learning and development stipends;
  • Company-wide and team off-sites;
  • Competitive compensation and company stock options.
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