Senior AI Engineer (Agentic AI)

RITS

Warsaw, Poland • 15m ago • On-site

Senior

On-site

312,000 - 353,600 PLN/yr

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Quick Facts

  • Role: Senior AI Engineer (Agentic AI)

  • Engagement: B2B

  • Location: Warsaw (hybrid; office visits as needed by the project)

  • Duration: 6–12 months

  • Start: 01.12.2026

  • Rate: up to 170 PLN net + VAT per hour

Description

You will join a project for a leading bank in Poland to build and evolve an Agentic AI platform that supports business processes. The work includes creating LLM-driven solutions, multi-agent architectures, and RAG systems, plus integrating AI components into enterprise environments. You will also focus on response quality, reducing hallucinations, and implementing safety mechanisms.

Responsibilities

  • Design, develop, and maintain Agentic AI solutions

  • Build systems based on LLMs and RAG

  • Design multi-agent architecture using Agno, LangGraph, LangChain, LlamaIndex, or similar frameworks

  • Integrate AI agents with business systems via API

  • Develop AI and Machine Learning components in Python

  • Create evaluation, monitoring, and observability mechanisms for AI systems

  • Optimize model response quality, reduce hallucinations, and implement safety controls

  • Collaborate with business teams, architects, and IT teams

Requirements

  • 5+ years of commercial Python programming experience

  • 2+ years of experience with LLM, RAG, or Agentic AI projects

  • Practical experience designing and deploying AI solutions in production environments

  • Knowledge of Agno, LangGraph, LangChain, LlamaIndex, or comparable frameworks

  • Experience with vector databases (e.g., Qdrant, ChromaDB, Weaviate, Milvus)

  • Knowledge of embeddings, reranking, and model response optimization

  • Backend development experience with FastAPI

  • Knowledge of ML/AI libraries such as PyTorch, TensorFlow, and Hugging Face

  • Experience with AI monitoring and evaluation tools (Langfuse, LangSmith, Promptfoo, DeepEval)

  • Knowledge of Docker and Kubernetes/OpenShift

  • Understanding of MLOps and LLMOps

  • Ability to design AI architectures for enterprise environments

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