AI Agents & LLM Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Agents & LLM Engineer (AI Engineering): Designing and deploying production-ready solutions based on LLMs and AI agents with an accent on RAG, agentic workflows, and multi-agent architectures. Focus on building scalable data pipelines, implementing MLOps/LLMOps processes, and integrating autonomous AI systems into enterprise microservices.
Location: Warszawa (Warsaw), Poland
Company
A leading telecommunications company driving innovation through its T-Hub, focusing on 5G, IoT, and AI technologies.
What you will do
- Design and deploy enterprise production solutions based on Machine Learning, LLMs, and AI agents.
- Develop AI-powered applications utilizing RAG, agentic workflows, multi-agent architectures, and tool-calling frameworks.
- Build and optimize data pipelines for training, validation, and inference.
- Implement MLOps and LLMOps processes, including automated training, deployment, monitoring, and guardrails.
- Design agent orchestration frameworks and advanced reasoning workflows for autonomous AI systems.
- Collaborate with data science and product teams to translate business requirements into technical implementations.
Requirements
- Minimum 5 years of experience in Software Engineering, Machine Learning, Data Science, or AI-related roles.
- Hands-on experience designing and deploying AI agents and LLM-based applications in production.
- Expert proficiency in Python and frameworks such as LangChain, LangGraph, SmolAgents, or CrewAI.
- Deep understanding of Transformer architectures, vector databases, embeddings, and prompt engineering.
- Strong experience with SQL, ETL pipelines, CI/CD, and DevOps practices.
- Fluent English communication skills (C1+)
Nice to have
- Experience with GenAI evaluation frameworks and observability platforms like LangSmith, Arize, or Galileo.
- Experience fine-tuning open-source models and utilizing model serving frameworks.
- Knowledge of graph-based AI architectures and knowledge graphs.
- Experience implementing AI governance, guardrails, and Responsible AI practices.
Culture & Benefits
- Opportunity to work at the forefront of modern technologies including 5G, IoT, and AI.
- Role as a catalyst for innovation within a telecommunications industry leader.
- Engagement in shaping the future of connectivity on a large scale.
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