Geforderte Skills
- Python
- Machine Learning
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- AI Agents
- MLOps
- LLMOps
- CI/CD
- Model Deployment
- Cloud Computing
- Software Architecture
Sprachen: English · Polish
Jobbeschreibung
We are expanding our central AI engineering competency team and are looking for AI/ML engineers with expertise in Generative AI and MLOps to build universal modules, engineering accelerators, and production agent/LLM systems.
Project overview
We are expanding our central competency team dedicated to artificial intelligence engineering. In connection with new deployments planned for the coming year, we are looking for AI/ML engineers who combine competencies in Generative AI and MLOps (or have a strong specialization in one of these areas with a desire to develop in the other).
You will co-create universal modules, engineering accelerators, and production agent and LLM systems, implemented in modern technological solutions.
- Building and scaling reusable components, AI services, and libraries for related products.
- Designing and implementing production architectures based on Generative AI: retrieval (RAG) pipelines, tool use, orchestration layers, and agent workflows.
- Implementing evaluation loops (evaluation-driven development) monitoring quality, latency, costs, grounding, and model resilience.
- Creating technical specifications, interface definitions, data flow contracts, and test frameworks.
- Implementing observability, monitoring, governance, and security standards for AI solutions in a cloud environment.
- Rapid prototyping (PoC) of innovative technological approaches and translating them into stable production components.
- Collaborating with product teams (AI PM/PO, software engineers) on integrating central AI capabilities.
- Min. 3 years of commercial experience in software engineering, including designing AI systems or data-intensive solutions for production environments.
- Very good knowledge of Python and modern AI/ML ecosystem libraries.
- Practical experience with Generative AI solutions (LLM, RAG, tool calling, multi-agent systems) along with an understanding of their limitations, costs, and failure modes.
- Experience with public cloud
- Azure preferred (knowledge of GCP or AWS will be an additional advantage).
- Understanding of MLOps / LLMOps best practices: model deployment, CI/CD pipelines, quality evaluation, and test automation.
- Ability to create clear architecture, specifications, and integration interfaces.
- Higher education in a relevant field (Computer Science, AI, Data Science, or related) or equivalent project experience.
- Fluent communication in English (work in an international environment).
Project details
- Start: ASAP
- Remote: remote
- Location: Remote, PL
- Rate: 100-150 EUR/h
- Languages: English, Polish
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