AI Consultant Engineer: Build LLM & Agent Apps

Sportrada; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Job summary

Sportradar is seeking a Forward Deployed AI Engineer based in Warsaw. You will act as an internal consultant, identifying real problems, designing and shipping LLM and agent-based solutions, and building robust data pipelines to support retrieval-augmented workflows.

We value self-motivated engineers who communicate clearly with non-technical colleagues and can work autonomously with limited supervision, while collaborating with multiple stakeholders on pragmatic, scalable AI solutions.

Qualifications

• Around 2+ years of software engineering or applied ML experience.
• Clear communication with non-technical colleagues; able to explain technical topics simply.
• Self-motivation and the ability to work independently with little supervision.

Responsibilities

• 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 maintain data pipelines that feed these systems.
• Plan your own work, give regular updates and document solutions.

Skills

Python

LLM APIs

RAG / agents

Data pipelines

SQL

Cloud platforms (AWS/Azure/GCP)

Software engineering fundamentals

Tools

Git

Docker

APIs

Job description

Sportradar is seeking a Forward Deployed AI Engineer based in Warsaw. You will act as an internal consultant, identifying real problems, designing and shipping LLM and agent-based solutions, and building robust data pipelines to support retrieval-augmented workflows.

We value self-motivated engineers who communicate clearly with non-technical colleagues and can work autonomously with limited supervision, while collaborating with multiple stakeholders on pragmatic, scalable AI solutions.