Senior AI Agent Engineer: Modernization & Automation

Luxoft; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

Luxoft in Poland seeks a Senior Agentic Engineer to lead modernization projects across multiple domains. You will launch toolsets, validate results, and tailor prompts to achieve production-ready outcomes.

You will troubleshoot issues, review agent outputs, and collaborate with the modernization team to align solutions with project goals and quality standards. Experience with AI agents and cloud-native stacks is required.

Qualifications

• 5+ years of professional software development as a full stack developer, with systems taken to production and supported there.
• Relational databases and SQL; understanding of graph data models (Neo4j) and vector databases.
• Docker, Kubernetes, Helm: you deploy and debug them yourself.
• Testing as a habit: unit and integration tests, Testcontainers or similar.
• Understanding of TDD aspects.
• Owning an area on your own, from an unclear problem statement to production, without someone else breaking it into tasks.
• Willingness to make decisions with incomplete information and to own the outcome.
• Ability to get up to speed quickly in unfamiliar code, technology or business domains.
• Ability to explain a decision and its limits in writing and in person.

Responsibilities

• Launch modernization toolset
• Perform initial result validation
• Customize and adjust prompts
• Troubleshoot, debug, and resolve prompt issues
• Collaborate with modernization team members to align with project goals and deliver high-quality solutions

Skills

AI agents

Full stack dev

SQL databases

Neo4j graphs

Vector databases

Docker

Kubernetes

Helm

Test-driven development

Software debugging

Decision making

Documentation

Tools

Docker

Kubernetes

Helm

Job description

Luxoft in Poland seeks a Senior Agentic Engineer to lead modernization projects across multiple domains. You will launch toolsets, validate results, and tailor prompts to achieve production-ready outcomes.

You will troubleshoot issues, review agent outputs, and collaborate with the modernization team to align solutions with project goals and quality standards. Experience with AI agents and cloud-native stacks is required.