T-Hub - AI Agents & LLM Engineer

Location: Warszawa

Contract: Employment contract

Working mode: full time

Are you in? Apply!

About the Position

Join T-Hub as an AI Agents & LLM Engineer to design, build, and deploy AI solutions in a full-time role in Warsaw.

Responsibilities

• Design, build and deploy solutions based on Machine Learning, LLMs and AI agents with a focus on enterprise production applications
• Develop and implement AI-powered applications utilizing RAG, agentic workflows, multi-agent architectures and tool-calling frameworks.
• Build and optimize data pipelines for training, validation and inference
• Optimize models for performance, scalability and cost-effectiveness
• Build scalable and cost-effective AI solutions leveraging cloud-native architectures.
• Conduct integration with applications (FastAPI, microservices)
• Implement MLOps and LLMOps processes, including automated training, testing, deployment, monitoring, evaluation, guardrails, and model retraining.
• Design agent orchestration frameworks and advanced reasoning workflows for autonomous and semi-autonomous AI systems.
• Integrate different AI models into production systems working closely with other engineering teams
• Collaborate with data science, POs and IT teams to define requirements into implementation
• Ensure security, compliance, reliability, and observability of deployed AI solutions.

Requirements

• Minimum 5 years of experience in Software Engineering, Machine Learning, Data Science or AI-related roles.
• Strong hands-on experience designing and deploying AI agents and LLM-based applications in production environments.
• Deep understanding of Transformer architectures, RAG systems, embeddings, vector databases, prompt engineering, context management and agent orchestration.
• Expert-level proficiency in Python and modern AI frameworks.
• Strong experience with LangChain, LangGraph, SmolAgents, Google ADK, CrewAI or similar agent frameworks.
• Practical knowledge of building autonomous and multi-agent systems.
• Experience implementing advanced reasoning patterns, planning strategies and tool-augmented AI workflows.
• Strong understanding of software architecture, API development, microservices and distributed systems.
• Experience with SQL, data preprocessing, ETL pipelines, feature engineering and large-scale data processing.
• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of MLflow, Airflow or similar MLOps platforms.
• Strong analytical, communication, and problem-solving skills.
• Fluent English communication skills, both written and spoken.

Nice to Have

• Experience with Generative AI evaluation frameworks and observability platforms (LangSmith, Arize, Galileo, Phoenix, etc.).
• Experience fine-tuning open-source models and working with model serving frameworks.
• Knowledge of graph-based AI architectures and knowledge graphs.
• Experience implementing AI governance, guardrails, and Responsible AI practices.

We Offer

Working at T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, we do not only provide a platform to hone your technical skills but also empower you to be a catalyst for innovation.

You'll have the opportunity to work at the forefront of modern technologies, from 5G to IoT and AI, shaping the future of connectivity.

Benefits

• No dress code - you can just be yourself here
• Medical, sport and life insurance packages at preferential terms
• Access to: Percipio, Coursera, Rodos learning platforms
• Access to our products and services at preferential terms
• Employment contract-based cooperation
• Know Talent - receive training or financial bonus for recommending new employees

Recruitment Process

Let’s meet to better understand each other's expectations.

Our screening meeting will last about 20-30 minutes. We will ask you about our areas of interest and will be happy to field any questions you may have.

Hiring Manager will receive a recommendation for your application.

There’s nothing for you to do at this stage - we’ll take care of everything. During this time we process all the information we've gathered during the screening process and dig deeper into your CV.

Technical meetings with the Hiring Manager and/or team members.

We will invite you to one or two project meetings to confirm that we have a ‘perfect match'. The meetings may last between 30 minutes and 90 minutes, during which time we will talk to you about mutual expectations and the vision for our collaboration. You will also most likely meet your future supervisor and your teammate during this time.

Time to decide!

At this stage, we will have decided that you are the person we want to develop our projects with. We will then come back to you with an offer of collaboration, hoping for your "yes". If for some reason, we are unable to offer you a position in our team, you will certainly receive feedback from us explaining our decision.

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