
Agentic AI Engineer
in4ge sp. z o.o.
Warsaw, Poland • 1h ago • Remote
Senior
Remote
170 - 200 PLN/yr
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Potential salary for Agentic AI Engineer role
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PLN 170 – PLN 200/year
Quick Facts
Role: Agentic AI Engineer (Trusted Advisor)
Work model: Mostly remote in Europe (CET), with occasional hybrid on-site visits
Contract: B2B
Description
You will serve as a technical trusted advisor, solving complex ML challenges and implementing advanced AI solutions using autonomous agent workflows. The role focuses on designing and delivering production-grade systems for agentic AI, including intelligent document processing and GenAI use cases. You will collaborate directly with clients, partners, and cloud product teams to deploy solutions into production environments.
Responsibilities
Design and implement multi-step agentic AI workflows using ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace.
Mentor and coach clients on practical ML challenges: feature extraction and definition, data validation, monitoring, and ML model/MLOps lifecycle management.
Design and deliver production solutions for AI-enabled intelligent document processing and GenAI.
Collaborate with clients, partners, and product teams to enable smooth rollout of solutions to production environments.
Requirements
Practical, documented experience with Google Cloud Platform (GCP) (non-negotiable).
Expertise in agentic AI architecture, workflows, and tools: ADK, Agent Engine, LangChain, Vertex AI, AgentSpace (non-negotiable).
Strong MLOps experience, including ML system design and model management/monitoring.
Documented delivery of GenAI and AI-assisted document processing projects.
Advanced consulting and advisory skills for direct work with demanding business clients.
Fluent English (Professional Proficiency) for international collaboration.
Benefits
Stable B2B contract.
Flexible remote work across Europe (CET) with occasional, incidental hybrid on-site visits.
Strategic advisory-engineering role combining advanced AI solution design with real business impact.
Modern technology stack and close collaboration with leading product teams (Big Tech).
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