Forward deployed AI engineer for LLM applications

GamblingCareers.com; Warszawa; Presencial; PLN 180.000 - 280.000; Jornada completa

Descripción de la vacante

Компания Sportradar ищет Forward Deployed AI Engineer в Варшаве. Ваша роль похожа на внутренний консалтинг: вы изучаете процессы, выявляете проблемы и строите решения на основе LLM и агентов, занимаясь от прототипа до продакшна, включая RAG и интеграции инструментов.

Требуется 2+ лет опыта в софтверной разработке или ML, умение ясно общаться с коллегами и самостоятельность. Вакансия предполагает работу в офисе, гибкий подход к развитию и участие в международной команде.

Formación

• Не менее 2 лет опыта в разработке ПО или прикладном ML.
• Умение объяснять технические темы для не технических коллег.
• Самомотивация и способность работать автономно.
• Структурированный подход к выявлению проблем и упрощению процессов.
• Знания Python и основ инженерии ПО (тестирование, VCS, API).
• Опыт работы с LLM API и RAG/агентами; примеры проектов.

Responsabilidades

• Обсуждать с коллегами workflow и данные; выявлять проблемы.
• Разрабатывать и разворачивать LLM‑основанные приложения и агентов.
• Реализовывать retrieval (RAG), интеграции инструментов и обработку контекста.
• Проводить оценки качества и данные dashboards; улучшать решения.
• Сопровождать конвейеры данных, планировать работу и документировать решения.

Conocimientos

Python

LLM APIs

Data pipelines

Communication

Educación

Бакалавр в CS/Math

Herramientas

SQL

APIs

AWS

GCP

Descripción del empleo

Описание

Sportradar is a sports data and technology company. As Forward Deployed AI Engineer, you work like an internal consultant: you are placed in a department or business unit, talk with the people there, find the real problems, cut through complexity, simplify how work is done, and then build and ship LLM and agent-based solutions. You work largely independently with little day-to-day supervision, find your way through organisational complexity and competing priorities to get things done, and learn fast. Senior engineers are available for guidance.

Задачи

Talk with colleagues in your department to understand workflows, pain points and data. Identify problems worth solving and break unclear or cluttered situations into clear, manageable steps. Streamline and simplify processes, and propose where an AI solution makes sense and where it does not. Work with several stakeholders and competing priorities, and keep your work moving pragmatically. Build, test and deploy LLM-powered applications and agents, from prototype to production. Implement retrieval (RAG), tool integrations, prompts and context handling. Build and run evaluations (test sets, automated checks, quality dashboards) and use the results to improve solutions. Build and maintain data pipelines that feed these systems. Plan your own work, give regular updates and document solutions.

Требования

Around 2+ years of software engineering or applied ML experience, or equivalent project experience. Clear communication with non-technical colleagues; able to explain technical topics simply. Self-motivation and the ability to work independently with little supervision. Pragmatic approach to organisational complexity and competing priorities. Structured approach to finding problems and simplifying complexity. Solid Python and software engineering fundamentals (testing, version control, APIs). Hands‑on experience with LLM APIs and a project using RAG or agents, including some evaluation. Familiarity with SQL or data pipelines and with a cloud platform (AWS, Azure or GCP). Будет плюсом: Consulting, internship or stakeholder‑facing project experience.

Условия

Based in Warsaw. Some travel between Sportradar offices may be required. A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US) including various social events and teambuilding. Ability to shape your own workday and career via a clearly defined professional and personal development plan. Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). Online training videos. Flexible working hours. For this reason, we are an office‑first business operating on a fully on‑site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.