Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-роль сочетает разработку LLM-продуктов и AI-агентов с современным backend-стеком в продуктовой компании. Без зарплаты сложнее оценить общий пакет относительно рынка.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (LLM/Agentic Pipelines): Building AI-native contract lifecycle infrastructure with an accent on LLM-powered features, agent orchestration, and evaluation methodology. Focus on designing reliable production pipelines, optimizing model cost and latency, and turning contract archives into structured data and actionable intelligence.
Location: Stockholm, Sweden; hybrid
Company
hirify.global builds AI-native Contract Lifecycle Management software that turns contracts into structured data, relationships, obligations, and logic.
What you will do
Design and ship LLM-powered features from prompt architecture through production monitoring.
Build and maintain agentic pipelines with orchestration, tool use, parallelisation, and failure handling.
Define evaluation methods, metrics, experiments, quality thresholds, and release criteria.
Identify technical product opportunities and scope work independently.
Choose model providers and optimize AI features for cost, latency, and capability.
Write production code that supports the engineering team.
Requirements
Hands-on experience shipping LLM-powered features to real users, including prompt engineering, output parsing, evaluation, and cost and latency tradeoffs.
Experience designing and operating agentic pipelines with orchestration, tool use, parallelisation, and failure handling.
Strong backend fundamentals in Node.js, TypeScript, PostgreSQL, and event-driven systems.
Experience optimizing LLM-powered features for cost and performance.
Ability to scope work, run experiments, make pragmatic shipping decisions, and operate in ambiguity.
Clear communication with non-technical stakeholders.
Nice to have
Experience with GraphQL, Docker, Kubernetes, AWS, React, and event-driven microservices.
Interest in understanding the product context behind technical decisions.
Culture & Benefits
Work on AI that is central to the product rather than a demonstration layer.
Own a meaningful part of a complex problem from the start.
Work in a small, senior engineering team with direct impact.
Opportunities for growth and leadership in a fast-scaling company.
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