Senior Agentic AI Engineer

🔥 17 hours ago

🇵🇱 Poland – Remote

💵 zł140 - zł170 / hour

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• 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 such as LangChain, LangGraph, and Semantic Kernel • Develop intelligent applications combining LLMs, retrieval, tool execution, and memory • Implement robust RAG pipelines, knowledge grounding, and enterprise search integrations • Engineer production-grade agent evaluation, monitoring, guardrails, and safety mechanisms • Work in cross-functional agile teams to deliver end-to-end AI systems from exploration and feature engineering through training, validation, deployment, and continuous improvement • Investigate and analyze large, high-dimensional datasets using AI/ML techniques to extract value and generate actionable insights • Serve as a technical advisor during client engagements, identifying opportunities, recommending solutions, and sharing GenAI and agentic architecture best practices

🎯 Requirements

• 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) • Experience with Databricks • Demonstrated ability to handle complex, high-volume, multi-source data effectively • Strong communication skills and business orientation, with the ability to translate technical AI outputs into strategic value for clients and stakeholders • Proficiency in spoken and written English • Nice to have: experience with ML/data libraries such as scikit-learn, pandas, PyTorch, or TensorFlow, along with an understanding of deep learning and classical ML techniques