Senior Agentic AI Engineer: Scalable AI Workflows

gt-hq; Poland; On-site; PLN 180,000 - 320,000; Full time

Job summary

GT is seeking a Senior Agentic AI Engineer to design, build, and evolve an AI-powered platform enabling data exploration, insights, and visualizations. You will work across agentic lifecycles, from workflow design to production release, with a strong emphasis on secure, scalable architectures.

The role focuses on building an extensible agentic framework, integrating with services and data sources, implementing evaluation and observability, and driving improvements across the system using

Qualifications

• 6+ years in software engineering, data analytics, or related fields with 2+ years in agentic AI engineering.
• Strong Python development skills with production-grade apps.
• Hands-on experience building agentic AI systems using LangChain, LangGraph, Pydantic AI or OpenAI SDKs.
• Deep understanding of agentic patterns: tool calling, multi-step orchestration, context mgmt, guardrails, human-in-the-loop workflows.
• Experience with MCP (Model Context Protocol) and multi-agent or cross-application integrations.
• Experience developing AI agents for data analysis, including dataset exploration, code generation/execution, and result interpretation.
• Strong system design and architecture skills for configurable, extensible solutions.
• Knowledge of AI security, evaluation, observability, including secure data access, LLM testing, tracing, and performance monitoring.
• Strong ownership, communication, and cross-functional collaboration, with experience using AI coding assistants.

Responsibilities

• Design, build, and evolve agentic AI workflows for data exploration, analysis, and conversational insights.
• Develop and improve an extensible agentic framework, including orchestration, reusable tools, skills, and conversation management.
• Build secure integrations with application services and governed data sources, including sandboxed code execution and AI-powered data visualizations.
• Design configurable solutions supporting client-specific prompts, tools, skills, and data definitions without duplicating core architecture.
• Develop MCP servers and clients to enable communication between agents and applications.
• Contribute to architectural decisions and migration of the LangChain-based solution.
• Implement LLM evaluation, testing, observability, and security controls for reliable AI outputs.
• Own features end to end from design to production release and continuous improvement with cross-functional teams.

Skills

Python

Agentic AI

LangChain

OpenAI SDKs

System design

Tools

Pydantic AI

LangGraph

LangChain

OpenAI API

Docker

Azure OpenAI

Job description

GT is seeking a Senior Agentic AI Engineer to design, build, and evolve an AI-powered platform enabling data exploration, insights, and visualizations. You will work across agentic lifecycles, from workflow design to production release, with a strong emphasis on secure, scalable architectures.

The role focuses on building an extensible agentic framework, integrating with services and data sources, implementing evaluation and observability, and driving improvements across the system using