ai engineer for agentic applications

Enfint; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Bonus scheme

Group pension

Healthcare & life assurance

Hybrid work (3 days in office)

25 days holiday

Gym membership

Season ticket loan

Cycle to work

Flexible benefits platform

Training

Job summary

Enfint ищет опытного backend‑инженера для проектов AI/ML и GenAI. Ваша задача — проектировать и строить надежные API на Python, интегрировать LLM с инструментами и данными и выносить решения в продакшн с учётом масштабируемости.

Вы будете работать с Data Science, DevOps и инфраструктурой, наставлять коллег, развивать практики тестирования, мониторинга и релизов. Требуется глубокое владение Python, FastAPI, AWS, Docker, GitHub и CI/CD; приветствуется опыт агентных систем и GenAI.

Qualifications

• Степень в области компьютерных наук или эквивалентный hands-on опыт;
• Отличные навыки Python с ОО design, чистым кодом, SOLID и тестируемостью;
• Опыт backend/API на Python и FastAPI или аналогичных технологиях;
• Практика AWS;
• Навыки Docker, GitHub и CI/CD;
• Умение работать в команде и доводить до продакшна;
• Умение решать проблемы и оптимизировать производительность;
• Базовые знания мониторинга, контроля версий и тестирования;
• Желателен опыт агентных AI/GenAI систем и MLOps

Responsibilities

• Проектирование и сборка API и бэкэнд‑компонентов для AI/ML и GenAI;
• Интеграция LLMs с инструментами, источниками данных и бизнес‑процессами в рабочие продакшн‑пайплайны;
• Обеспечение надежности, масштабируемости и готовности к эксплуатации;
• Улучшение качества кода и производственной готовности стека AI/ML;
• Отладка и исправление проблем в API, окружениях и интеграциях;
• Служить техническим партнером между Data Science, инженерией, DevOps и инфраструктурой;
• Наставлять коллег и проводить code reviews;
• Разрабатывать и развивать engineering standards: тестирование, observability, релизы

Skills

Python

FastAPI

AWS

Docker

CI/CD

Team collaboration

Debugging

Object-oriented design

Education

Degree in Computer Science or related field

Tools

GitHub

Git

Job description

Задачи

• Design and build robust, secure APIs and backend components for AI/ML, GenAI, and agentic applications; Engineer agentic systems by integrating LLMs with tools, data sources, and business workflows into reliable production-grade pipelines; Drive systems from prototype to production, owning reliability, scalability, and operational readiness; Improve code quality, structure, and production readiness across the AI/ML stack; Debug and resolve issues across APIs, environments, and integrations; Act as the primary technical partner between Data Science and Engineering, DevOps, and Infrastructure teams; Support colleagues whose systems integrate with AI/ML and agentic components; Resolve technical ambiguity to reduce delivery friction and rework; Establish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management; Mentor and guide data scientists and engineers through code reviews and hands-on technical support; Champion disciplined engineering, continuous improvement, and operational excellence within Data Science.

Требования

• Degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline, or equivalent hands-on experience;
• Exceptionally strong Python skills with knowledge of object-oriented design, clean code, SOLID, design patterns, modularity, and testability;
• Strong backend and API engineering experience, ideally with Python and FastAPI or similar;
• Hands-on experience building and operating solutions in AWS;
• Proficiency with Docker, GitHub, and CI/CD pipelines;
• Proven ability to work across teams and drive delivery into production;
• Strong problem-solving, debugging, and performance optimisation skills;
• Solid software engineering foundations, including version control, automated testing, and monitoring;
• Nice to have: Experience with agentic AI systems, GenAI and LLM systems in production, MCP, MLOps pipelines, real-time or streaming systems.

Условия

• Competitive salary and company bonus scheme;
• Group pension scheme;
• Group healthcare and life assurance scheme;
• Hybrid working environment with currently three days in office;
• 25 Days annual holiday, increasing incrementally up to 30 days;
• Subsidised gym membership;
• Season ticket travel loan;
• Cycle to work scheme;
• Flexible benefits platform with additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance, and health screening;
• Extensive internal and external training.