Senior Agentic AI Engineer
140 - 170 PLN/ godz.
SeniorFull-time
#438193·Dodano 10 dni temu·3
Źródło: SpyrosoftTech 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
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