4 дня назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Python/LLM Systems): Designing, building, evaluating, and operating production AI systems for subscription commerce with an accent on retrieval, agentic workflows, model APIs, and measurable business correctness. Focus on translating ambiguous domain problems into reliable AI behaviour, building evaluation and observability loops, and diagnosing complex production failures.
Location: Remote, based in Greece or the UK; periodic in-person collaboration and regular team get-togethers are required.
Company
provides a subscription commerce platform for IT distributors, managed service providers, and telecommunications companies.
What you will do
- Design, implement, evaluate, deploy, monitor, and operate complex production AI systems.
- Translate ambiguous business problems, workflows, rules, and domain constraints into measurable system behaviour.
- Build AI systems using model APIs, structured outputs, retrieval/RAG, agentic and tool-based workflows, predictive techniques, and model adaptation where appropriate.
- Design evaluation strategies for functional behaviour, groundedness, business correctness, robustness, and regressions.
- Establish monitoring and feedback loops using logs, metrics, traces, operational data, and evaluation evidence.
- Collaborate with Architecture, Platform, Security, Data, Quality, Product, and domain specialists while mentoring less-experienced engineers.
Requirements
- Strong hands-on experience delivering production AI systems and selecting suitable AI approaches based on evidence.
- Strong software engineering background, particularly in Python, distributed systems, APIs, integrations, data pipelines, automated testing, CI/CD, containers, and cloud services.
- Experience with production observability, troubleshooting, reliability, testability, latency and cost management, and complex failure investigation.
- Ability to understand complex business workflows and take technical problems from discovery and experimentation through production and continuous improvement.
- Fluent English, written and spoken.
Nice to have
- Experience with MCP or equivalent tool and context interoperability patterns.
- Experience with LangGraph, Temporal, or equivalent orchestration technologies.
- Experience with model adaptation, fine-tuning, predictive ML, unstructured data, or large-scale knowledge and retrieval systems.
- Knowledge of AI security, privacy, responsible AI, anomaly detection, intelligent monitoring, or AI-assisted operational analysis.
Culture & Benefits
- Fully remote work with flexible working hours.
- Regular in-person team get-togethers with travel and accommodation covered.
- Health and life insurance programme.
- Learning and development budget.
- International, technology-driven, and collaborative working environment.
Hiring process
- Applications are reviewed and shortlisted candidates are contacted for an interview.
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