Forward deployed AI engineer for LLM systems

GamblingCareers.com; Warszawa; On-site; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Office in Warsaw

Travel opportunities

Job summary

Sportradar — компания в области спортивных данных и технологий. Staff Forward Deployed AI Engineer будет работать как внутренний консультант: внедряться в департаменты, понимать бизнес-задачи и предлагать AI-решения, упрощать процессы и подбирать подходящие решения.

Выстроит техническую стратегию, спроектирует и внедрит LLM и агентские системы, включая RAG, управление контекстом и наблюдаемость, работая с бизнес-задачами до продакшена.

Qualifications

• 8+ лет опыта в разработке ПО на стыке бизнеса и технологий.
• Опыт hands-on с LLM и агентами (prompting, tool use, RAG, evaluation).
• Сильные навыки Python, построение data pipelines и работа с облачными платформами (AWS, Azure или GCP).

Responsibilities

• Встречи с руководителями подразделений для понимания текущих рабочих процессов и проблем.
• Разбиение проблем на четкие задачи, план поставки и критерии успеха.
• Упрощение бизнес-процессов и определение ролей AI в решении задач.
• Работа с стейкхолдерами и приоритетами, продвижение проекта вперед.
• Определение и ведение технической стратегии и архитектуры для внутренних проектов.
• Проектирование и внедрение продакшн-решений на базе LLM и агентских систем (RAG, контекст, контроль, наблюдаемость).
• Определение и проведение оценочных тестов, регрессионных наборов и мониторинга.

Skills

Python

LLMs

Agents

Data pipelines

Cloud platforms

Stakeholder communication

Job description

Описание:

Sportradar is a sports data and technology company. As Staff Forward Deployed AI Engineer, you work like an internal consultant: you are placed in other departments and business units, talk with the business, find the real problems, cut through complexity, simplify processes and then build the AI solution. You work independently with little supervision, navigate organisational complexity and competing priorities to get things done, own the technical strategy for your use cases, and lead delivery of LLM and agentic systems from discovery to production.

Задачи:

• Meet with department leads and teams to understand how work is done today, identify problems and frame them clearly.
• Break down unclear, cluttered situations into defined problems, scope, success criteria and a delivery plan.
• Streamline and simplify business processes, and decide where AI helps and where it does not.
• Navigate stakeholders, approvals and competing priorities pragmatically to keep work moving.
• Own technical strategy and architecture for your internal engagements.
• Design and deliver production agentic and LLM systems, including retrieval (RAG), tool use, context and prompt design, guardrails and observability.
• Define and run evaluations (test sets, regression suites, monitoring) that guide design and model choices.
• Mentor colleagues, review designs and share reusable patterns.

Требования:

• Typically 8+ years of software engineering experience, including senior work with business stakeholders.
• Strong communication with business and technical audiences, including senior stakeholders.
• Self-motivated and able to work independently with little supervision on ambiguous work.
• Ability to navigate organisational complexity and competing priorities to get things done.
• Strong problem-finding and analytical skills; experience simplifying complex processes or systems.
• Experience building and operating production systems; strong system design.
• Hands‑on experience with LLMs and agents (prompting, tool use, RAG, evaluation).
• Strong Python; experience with data pipelines and a major cloud platform (AWS, Azure or GCP).
• Будет плюсом: Consulting or internal-consulting experience

Условия:

• 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.
• While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company.
• The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture.
• 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.
• Based in Warsaw.
• Some travel between Sportradar offices may be required; the extent will be confirmed by the hiring team.