Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает понятную зону ответственности senior-уровня в быстрорастущей сфере ИИ, но формат аутсорсинга и B2B-контракт могут давать меньше стабильности, чем работа над собственным продуктом.
Senior AI Engineer (LLM): Building and optimizing an LLM evaluation platform for a production AI-powered shopping assistant with an accent on evaluation pipelines, LLM-as-a-judge systems, golden datasets, and observability. Focus on analysing real user conversations, detecting hallucinations and abuse, improving agent workflows and guardrails, and creating automated regression tests.
Location: Warsaw, Poland; flexible hybrid mode with 1–2 office days per week in Warsaw or Kraków.
Company
hirify.global is hiring for an AI-powered shopping assistant project.
What you will do
Lead the development and technical ownership of an LLM evaluation platform supporting a production AI-powered shopping assistant.
Develop LLM evaluation pipelines, LLM-as-a-judge solutions, evaluation datasets, golden test sets, and automated regression tests.
Analyse real customer conversations, measure response quality, compare model performance, and identify hallucinations, incorrect responses, risks, and unusual user behaviour.
Build monitoring and observability for AI systems using tools such as Langfuse, Braintrust, or Weave.
Improve prompts, context management, AI agents, tool calling, agent workflows, guardrails, adversarial testing, and abuse detection.
Collaborate with product managers and engineering teams to improve reliable and measurable LLM performance.
Requirements
At least 5 years of software engineering experience and at least 2 years working with LLM systems in production.
Strong Python development and hands-on experience evaluating LLM applications.
Experience with LLM-as-a-judge systems, evaluation frameworks, prompt engineering, and context engineering.
Experience with AI agents, tool calling, and multi-turn conversations.
Experience with LLM observability tools such as Langfuse, Braintrust, Weave, or similar.
SQL experience and experience working with large datasets.
Experience with CI/CD, testing, Docker or other container technologies, and cloud infrastructure.
Experience using AI development tools such as Cursor, Claude Code, or GitHub Copilot.
Good English and Polish.
Nice to have
Human evaluation and calibration of LLM results.
Golden datasets and regression testing for generative AI.
Agent orchestration and automated workflows.
MCP and agent-to-agent integrations.
AI red-teaming, jailbreak testing, and guardrails.
Experience improving LLM applications using production feedback.
Experience with e-commerce, search, or recommendation systems.
Experience as a Technical Lead or Staff Engineer.
Culture & Benefits
Flexible hybrid work with 1–2 office days per week in Warsaw or Kraków.
Solid, competitive salary.
Work in a multinational environment on international projects.
Comprehensive healthcare.
Long-term B2B contract with a stable project pipeline.
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