Senior Agentic AI Engineer

140 - 170 PLN/ godz.
SeniorFull-time
#438193·Dodano 10 dni temu·3
Źródło: Spyrosoft
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Tech Stack / Keywords

PythonAzure OpenAIGoogle Vertex AIAmazon BedrockLangChainLangGraphSemantic KernelRAGDatabricksscikit-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

Spyrosoft

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