Spyrosoft

Senior Agentic AI Engineer

140 - 170 PLN/ godz./ godz.

SeniorZdalnie·WrocławFull-time

#438193·Dodano miesiąc temu·6

Źródło: Spyrosoft

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Tech Stack / Keywords

PythonAzure OpenAIGoogle Vertex AIAmazon BedrockLangChain LangGraphSemantic KernelRAGDatabricks scikit-learn

Firma i stanowisko

SpyroSoft is expanding its advanced AI and Agentic capabilities through its Artificial Intelligence Unit, focusing on intelligent, agent-driven products and platforms across industries.

Wymagania

MSc in Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics, or related.
Several years of hands-on experience in applied machine learning or AI engineering.
Solid proficiency in Python programming.
Experience with AI platforms like Azure OpenAI, Google Vertex AI, Amazon Bedrock.
Practical knowledge of AI agents, reasoning workflows, planning loops, and autonomous task execution.
Familiarity with agentic frameworks such as LangChain, LangGraph, Semantic Kernel.
Experience implementing RAG pipelines and enterprise integrations for agents.
Experience deploying AI systems in production with MLOps/LLMOps and cloud ML ecosystems (Azure, AWS, GCP).
Experience with Databricks.
Ability to handle complex, high-volume, multi-source data.
Strong communication skills and business orientation.
Proficiency in spoken and written English.

Nice to have:

Experience with ML/data libraries such as scikit-learn, pandas, PyTorch, TensorFlow.
Understanding of deep learning and classical ML techniques.

Obowiązki

Design, develop, and deploy Agentic AI solutions using platforms such as Azure OpenAI Services, Google Vertex AI, Amazon Bedrock.
Build and orchestrate AI agents and multi-agent workflows with frameworks like LangChain, LangGraph, Semantic Kernel.
Develop intelligent applications combining LLMs, retrieval, tool execution, and memory for autonomous complex tasks.
Implement robust RAG pipelines, knowledge grounding, and enterprise search integrations.
Engineer agent evaluation, monitoring, guardrails, and safety mechanisms.
Work in cross-functional agile teams for end-to-end AI system delivery, including exploration, training, deployment, and improvement.
Investigate and analyze large, high-dimensional datasets using AI/ML techniques.
Serve as a technical advisor during client engagements for GenAI and agentic architectures.

Spyrosoft

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