T-Hub - AI Agents & LLM Engineer

Magentateam; Warszawa; On-site; PLN 180,000 - 360,000; Full time

Benefits offered by this job

Medical insurance

Life insurance

No dress code

Training bonus for referrals

Access to products at preferential_TER

Preferential terms for products

Job summary

T Hub is seeking an experienced Senior AI/ML Engineer to design, build and deploy AI-powered solutions for enterprise applications. You will focus on producing scalable production-grade systems and integrating with FastAPI/microservices.

The role requires hands-on experience with LLMs, RAG, agent frameworks, and MLOps/LLMOps processes, plus strong Python skills. You will collaborate with data science and IT teams in Warsaw to deliver secure, observable AI outcomes.

Qualifications

• Minimum 5 years of experience in Software Engineering, Machine Learning, DataScience or AI-related roles.
• 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, written and spoken.

Responsibilities

• Design, build and deploy AI-powered solutions for enterprise production.
• Develop AI-powered applications utilizing RAG, agentic workflows and multi-agent architectures.
• Build scalable and cost-effective AI solutions leveraging cloud-native architectures.
• Integrate different AI models into production systems working with other engineering teams.
• Collaborate with data science, product and IT teams to define requirements into implementation.
• Ensure security, compliance, reliability, and observability of deployed AI solutions.
• Implement MLOps and LLMOps processes including automated training, testing, deployment, monitoring and retraining.

Skills

AI agent design

Production ML systems

Transformer architectures

RAG systems

Prompt engineering

Context management

Agent orchestration

Python proficiency

English communication

Distributed systems design

Tools

LangChain

LangGraph

SmolAgents

Google ADK

CrewAI

Job description

• Design, build and deploy solutions based onMachineLearning,LLMs andAI agentswith a focus on enterprise production applications
• Develop and implement AI-powered applicationsutilizingRAG, agentic workflows, multi-agentarchitecturesand tool-calling frameworks.
• Build andoptimizedata pipelines for training,validationand inference
• Optimizemodels for performance,scalabilityand cost-effectiveness
• Build scalable and cost-effective AI solutionsleveragingcloud-native architectures.
• Conduct integration with applications (FastAPI, microservices)
• ImplementMLOpsandLLMOpsprocesses, 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.
• IntegratedifferentAI modelsinto production systems working closely with other engineering teams
• Collaborate with data science,POsand IT teams to define requirements into implementation
• Ensure security, compliance, reliability, and observability of deployed AI solutions.

WHAT SKILLS WILL BE APPRECIATED?

• Minimum 5 years of experience in Software Engineering, Machine Learning, DataScienceor 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, contextmanagementand agent orchestration.
• Expert-levelproficiencyin Python and modern AI frameworks.
• Strong experience withLangChain,LangGraph,SmolAgents, Google ADK,CrewAIor similar agent frameworks.
• Practical knowledge of building autonomous and multi-agent systems.
• Experience implementing advanced reasoning patterns, planningstrategiesand tool-augmented AI workflows.
• Strong understanding of software architecture, API development,microservicesand distributed systems.
• Experience with SQL, data preprocessing, ETL pipelines, featureengineeringand large-scale data processing.
• Experience with CI/CD pipelines and DevOps practices.
• Knowledge ofMLflow,Airflowor similarMLOpsplatforms.
• Strong analytical, communication, and problem-solving skills.
• Fluent English communication skills, both written and spoken.Nice toHave:
• 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 andknowledgegraphs.
• Experience implementing AI governance, guardrails, and Responsible AI practices.

OUR OFFER FOR YOU

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.

No dress code - you can just be yourself here

Medical, sport and life insurance packages at preferential terms

Access to our products and services at preferential terms

Employment contract-based cooperation

Know Talent - receive training or financial bonus for recommending new employees

WHAT WILL YOUR RECRUITMENT PROCESS BE LIKE?

A fair approach to all people who want to join T Hub means that:

• The recruitment process is transparent;
• Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on he outcome of the process):
• Regardless of the outcome of the process, you will get detailed feedback.

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.

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.