Senior AI Agent Engineer / AI Agent Architect

Kempuri; Województwo pomorskie; On-site; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Collaborative environment

Challenging e-commerce project

Impact on solution quality

AI skills development in modern tech

Job summary

Kempuri in Poland seeks a Senior AI Agent Engineer to design and develop production-grade AI agent solutions, from orchestration architecture and tool integrations to backend services, observability, reliability, and engineering standards.

This role targets someone with strong software engineering skills and hands-on experience building production AI/LLM solutions, driving the architecture and technical direction of AI agent systems.

Qualifications

• Strong Python production-grade apps experience with FastAPI.
• Hands-on with at least one AI agent framework and LLMs.
• Knowledge of agent orchestration, state management and multi-step workflows.
• Experience designing tool schemas and API integrations.
• REST APIs with response streaming; GCP experience.
• Build scalable, secure, observable production-ready solutions.
• Commitment to clean code, testing, reviews, and standards.
• Ability to make architectural decisions and justify them.
• Fluent in Polish.

Responsibilities

• Design and develop AI agent orchestration architecture with multi-step workflows.
• Create tools for AI agents, including schemas and contracts.
• Build production-grade Python/FastAPI services with REST endpoints and streaming.
• Ensure secure interactions with external services and data sources.
• Deploy and monitor solutions on Google Cloud Platform.
• Maintain reliability and observability via logging and tracing.
• Evaluate response quality and implement safeguards and guardrails.
• Optimize latency, token use, and model selection for tasks.
• Define coding standards, testing, and documentation within the team.
• Collaborate with product teams to translate business needs into AI solutions.
• Stay current with MCP and multi-agent architectures for production use.

Skills

Python

FastAPI

Agent frameworks

LLMs

Orchestration

Tool schemas

REST API

GCP

Clean code

Architectural decisions

Polish fluency

Job description

We are looking for a Senior AI Agent Engineer / AI Agent Architect to design and develop production-grade AI agent solutions, from orchestration architecture and tool integrations to backend services, observability, reliability, and engineering standards.

This role is ideal for someone with strong software engineering skills and hands-on experience building production AI/LLM solutions who wants to make a real impact on the architecture and technical direction of AI agent systems.

Requirements

• Strong commercial experience with Python, including building and maintaining production-grade applications.Hands-on experience with FastAPI.
• Practical experience with at least one AI agent framework and building solutions based on LLMs.
• Good understanding of agent orchestration, context and state management, and multi-step workflows.
• Experience designing tool schemas, tool-calling mechanisms, and integrations with APIs and other systems.
• Very good knowledge of REST APIs, including response streaming.Hands-on experience with Google Cloud Platform (GCP).
• Experience designing production-ready solutions with scalability, reliability, security, and observability in mind.
• Strong understanding of clean code principles, testing practices, code reviews, and software engineering standards.
• Ability to make independent technical and architectural decisions and clearly communicate the reasoning behind them.
• Fluent in Polish.

Responsibilities

• Design and develop AI agent orchestration architecture, including multi-step workflows, state and context management, error handling, and retry mechanisms.
• Design tools used by AI agents, including tool schemas, input/output contracts, and integrations with internal systems and external APIs.
• Build and maintain production-grade services using Python and FastAPI, including REST endpoints with response streaming.
• Design reliable and secure mechanisms for agents to interact with external services, APIs, and data sources.
• Deploy and maintain solutions on Google Cloud Platform (GCP), including deployment, scaling, monitoring, and cost optimization.
• Ensure reliability and observability of agent-based systems through logging, monitoring, and tracing of LLM and tool calls.
• Implement mechanisms for evaluating response quality and introducing appropriate safeguards, including guardrails and tool access control.
• Optimize solution performance and costs, particularly in terms of latency, token consumption, and model selection for specific tasks.
• Define and maintain engineering and coding standards within the team, including code reviews, testing practices, development conventions, and technical documentation.
• Collaborate with product and business teams to translate business requirements into effective AI agent solutions.
• Keep up with developments in the AI agent ecosystem, including MCP and multi-agent architectures, and recommend technologies and approaches suitable for production use.

Our offer

• A collaborative and supportive work environment based on partnership and knowledge sharing.
• The opportunity to work on an interesting and challenging e-commerce project in a dynamic environment.
• A real impact on the quality of the solutions being developed.
• Opportunities to develop your AI skills while gaining experience with modern systems and technologies.