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Чётко очерченная senior-роль сочетает разработку AI-агентов для production, современные технологии и влияние на быстро развивающиеся продукты; компания отдельно отмечает поддержку баланса работы и личной жизни.
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Современный стек
Востребованная сфера
Влияние на продукт
Поддержка баланса
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Agent Foundations (AI): Building retrieval systems, knowledge bases, MCP endpoints, agent tools, and orchestration for AI-powered content operations with an accent on structured content, hybrid search, and production reliability. Focus on designing agent loops, system prompts, evaluation and telemetry systems, and full-stack services across TypeScript, React, APIs, and Go.
Location: London, UK or Oslo, Norway; hybrid with in-office work 2–3 days per week
Company
hirify.global builds an AI-powered content operating system that lets teams model, create, and automate structured content across channels.
What you will do
Build retrieval systems and knowledge bases from hirify.global datasets and external sources, including chunking, freshness, scoping, GROQ filtering, keyword search, and semantic search.
Develop MCP endpoints, agent tools, and integrations extending Content Agent across hirify.global Dashboard, Slack, Linear, and APIs.
Design agent orchestration loops, action sequencing, human escalation, and precise system prompts.
Improve reliability, retrieval quality, and cost through evaluations, telemetry, experiments, and production measurement.
Ship across the stack, including Dashboard and Studio interfaces, APIs, backend services, Blueprints, and infrastructure-as-code for agents and knowledge bases.
Shape the evolving hirify.global Context and Content Agent products in collaboration with product and design.
Requirements
Strong TypeScript and React skills with the ability to work across frontend, APIs, and backend, often in Go.
Production experience shipping LLM-based systems and making them reliable for users.
Understanding of chunking, embeddings, hybrid search, ranking, and the limitations of RAG.
Ability to reason about user intent, edge cases, failure modes, cost, agent knowledge, tool access, and escalation before choosing an architecture.
Strong technical writing skills and the ability to create precise instructions for systems that interpret language literally.
Experience designing evaluations, running experiments, and interpreting probabilistic results statistically.
Experience with MCP, tool-use patterns, and agent architectures, or willingness to explore them.
Attention to code and product quality, including written content. Applicants do not need to meet every requirement; engineering experience developed through writing, interaction design, or liberal arts is welcomed.
Culture & Benefits
Skilled, supportive, and multicultural colleagues and customers.
Flexible, trust-based environment supporting long-term professional and personal growth.
Comprehensive health plans and additional perks.
Work-life balance supporting individual and family needs.
Competitive stock options and location-based salary.
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