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8 дней назад

Senior Software Engineer, Agent Foundations (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Norway
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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