AI Agent Developer
Description
We are partnering with a pioneering industry leader in the gaming and systems development sector. Our Customer designs and delivers premium game content, award-winning systems, and state-of-the-art gaming hardware, providing world-class gaming experiences globally. The project involves working across a distributed portfolio of applications, focusing on implementing quality engineering best practices, improving QA efficiency, and extending automated test coverage. The Role: We are seeking an AI Agent Developer to engineer intelligent, LLM-powered agents integrated directly with our core test automation framework. In this role, you will build production-grade agent services that hook into the Java core automation engine, enabling autonomous test generation, execution, and maintenance across our Customer's gaming portfolio to empower QA Automation teams.
office remoteEuropean UnionGeorgiaKazakhstanUzbekistan
Requirements
- AI Application Engineering: Strong experience delivering LLM-powered features to production rather than to prototype, covering tool use, multi-turn agent loops, structured output, and management of context, latency and cost
- Can ship agents as services with authentication, queues and persistent state
- Evaluation & Quality: Expertise building evaluation sets and regression suites that detect when a prompt or model change has degraded results with a clear metrics proving that
- Programming Languages: Proven expertise in Python
- Code Context & Retrieval: Strong experience getting relevant source code in front of a model through repository indexing and symbol or structural search, with the possibility to recognise where embeddings are not the right instrument
- Tooling & Integration: Experience with Model Context Protocol (MCP) or comparable tool-server design, including tool granularity and returning errors to the model in a form it can act on
- Safety & Guardrails: Solid understanding of permission boundaries, dry-run modes and human review gates for agents that modify repositories and drive physical devices
- Agent Observability: Familiarity with tracing agent runs, tracking token spend per feature
Nice to have
- Cross-language Reading: Ability to read Java and C# well enough to reason about a JVM automation engine and the Unity clients it drives
- Test Automation Understanding: Solid understanding of what makes an automated test flaky (timing, ordering, state leakage, genuine product defects) and of why a passing test is not evidence that a defect was fixed
- Domain & Industry Experience: Experience working within a game development environment or the mobile gaming industry, or with Unity
Responsibilities
- Agent Architecture & Engineering: Develop and deploy production LLM-powered services in Python using multi-turn agent loops, structured outputs, and tool integration
- Tooling & Protocol Integration: Design robust tool-server integrations (MCP or similar) connecting AI agents with the underlying Java core framework and device infrastructure
- Code Context Retrieval: Build repository indexing and code search mechanisms to optimize context feeding for LLM models during test generation and execution
- Evaluation, Safety & Observability: Establish continuous evaluation suites, model regression detection, safety guardrails, token tracking, and agent run tracing
We offer
- Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
- Competitive compensation that depends on your qualification and skills
- Career development system with clear skill qualifications
- Flexible working hours aligned to your schedule
- Options to work remotely
- Corporate medical insurance covering services of private and public medical centers
- English courses online
- Corporate parties and events for employees and their children
- Internal conferences, workshops and meetups for learning and experience sharing
- Gym membership compensation
- 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Veronika
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AI Agent Developer
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