Senior Agentic AI Engineer

New

SpyrosoftArtificial Intelligence

Wrocław, plac Nowy Targ 28, Warszawa, Prosta 20, Kraków, Zabłocie 43A, Białystok, Świętojańska 12A, Szczecin, Cyfrowa 4, WrocławContractSenior

Salary23,520 - 28,560 PLN per hour

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Job Details

MSc in Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics, or a related field.
A few years of hands-on experience in applied machine learning or AI engineering roles.
Solid proficiency in Python programming.
Strong experience with AI platforms such as Azure OpenAI, Google Vertex AI, Amazon Bedrock, or similar.
Practical knowledge of building AI agents, including tool-use, reasoning workflows, planning loops, and autonomous task execution.
Familiarity with agentic frameworks and orchestration tools such as LangChain, LangGraph, Semantic Kernel, or similar.
Experience implementing RAG pipelines, knowledge grounding, and enterprise integrations for agent-based applications.
Familiarity with deploying AI systems into production, including MLOps/LLMOps practices, evaluation strategies for LLMs and agents, and cloud ML ecosystems (Azure, AWS, GCP).
Demonstrated ability to handle complex, high-volume, multi-source data effectively.
Strong communication skills and business orientation.
Proficiency in spoken and written English.

Design, develop, and deploy Agentic AI solutions using platforms such as Azure OpenAI Services, Google Vertex AI, Amazon Bedrock, or similar.
Build and orchestrate AI agents and multi-agent workflows, leveraging modern agentic frameworks (e.g., LangChain, LangGraph, Semantic Kernel).
Develop intelligent applications that combine LLMs, retrieval, tool execution, and memory, enabling agents to perform complex tasks autonomously.
Implement robust RAG pipelines, knowledge grounding, and enterprise search integrations to support reliable agent behavior.
Engineer production-grade agent evaluation, monitoring, guardrails, and safety mechanisms to ensure trust and alignment.
Work in cross-functional agile teams to deliver end-to-end AI systems - from exploration and feature engineering to training, validation, deployment, and continuous improvement.
Investigate and analyze large, high-dimensional datasets, applying the latest AI/ML techniques to extract value and generate actionable insights.
Serve as a technical advisor during client engagements, identifying opportunities, recommending solutions, and sharing best practices in GenAI and agentic architectures.

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