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Дата публікації: 30.08.2026
By joining us as an AI Engineer, you will have a pivotal role in large projects, bringing your software engineering and applied LLM / agentic systems expertise to help us meet our high delivery standards, at scale and with the level of trust our users require.
Responsibilities
Build and harden agentic loops in production (LLM call orchestration, tool calling, streaming and events, error recovery, checkpointing and resumability); own context and memory engineering; make Pennylane usable by agents by turning business capabilities into well-specified, documented, versioned and tested tools; treat evaluation as a first-class discipline with golden datasets, LLM-as-judge, human eval, regression tracking and error analysis; collaborate with Product teams and domain experts on live use cases; stay ahead of the AI landscape and monitor emerging trends, SOTA models and breakthrough researchRequirements
5-8 years of experience; very strong in Python; hands-on experience building LLM and agentic systems at scale in production (prompting, tool use, context construction, RAG, handling failure, state and reliability); treat evaluation as a first-class discipline (golden datasets, LLM-as-judge, human eval, A/B testing, measuring agent quality, regressions and edge cases); good grasp of applied LLM/ML and AI infrastructure (model serving, vector databases, cost and latency); balanced blend of technical, business and product skills; communicate well including with non-technical domain experts; fluent in EnglishNice to have
model fine-tuning and post-training (SFT, DPO, RL); MCP; familiarity with RubyBenefits
25 vacation days paid by Pennylane; competitive compensation package; company shares; home workspace budget; monthly coworking allowance; access to 8,000 fitness spaces via Gymlib; access to Busuu; latest Apple equipment; remote work from European country within 2 hours of CET; company events such as Tech Days and annual seminar; for France-based employees: French contract, 6 to 12 RTT, 5 weeks PTO, lunch credits (Swile), Alan Blue healthcare cover, local eventsЯк відгукнутися
Подати заявку онлайн: https://www.jobs.pl/uk/oferta/100022606/aplikuj
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