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9 дней назад

Senior Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
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 (AI): Building production AI-agent infrastructure for enterprise software, including session and memory models, retrieval, document intelligence, agentic workflows, and multimodal interfaces with an accent on security, multi-tenancy, and reliable evaluation. Focus on designing tool-using agents, integrating scheduling and optimisation engines, and validating autonomy across complex business systems.

Location: Madrid, Spain; hybrid work opportunities are available.

Company

hirify.global develops enterprise software and AI-driven solutions for customers worldwide.

What you will do

  • Build session and context infrastructure with persistence, resumption, hand-over, reasoning trails, identity, and entitlement resolution.
  • Develop retrieval and grounding across structured records and documents, including manuals, engineering drawings, certification directives, and contracts.
  • Build agentic workflow runtime capabilities for multi-step tool use and human-in-the-loop decisions.
  • Support speech and image inputs alongside text for operational use cases.
  • Develop evaluation harnesses to validate AI output quality and autonomy before release.
  • Build language interfaces for scheduling and optimisation engines, alongside security controls for prompt injection, personal data, auditability, and data residency.

Requirements

  • Production experience building AI-native products, GenAI solutions, RAG pipelines, hybrid retrieval, embeddings, and agentic systems.
  • Experience with Go and Python in production environments.
  • Experience with service-to-service integration and orchestration using n8n, Temporal, MuleSoft, Apache Camel, or Boomi.
  • Experience building multi-tenant SaaS solutions, operating API gateways such as Kong or Tyk, and developing API products.
  • Experience with Pydantic AI, LangChain, MCP, plan-based agentic development, Docker, Kubernetes, CNCF technologies, and CI/CD.
  • Hands-on experience shipping production systems used by real customers; demo-only, hackathon, or personal-project experience is insufficient.

Nice to have

  • Experience optimizing AI services for latency and cost.
  • Experience with specification-driven development.
  • Knowledge of the latest developments in GenAI and AI-based software development.

Culture & Benefits

  • Hybrid work opportunities support flexibility and inclusive workplace experiences.
  • Global and diverse working environment focused on collaboration, trust, innovation, and sustainability.
  • Opportunity to work on AI-driven enterprise solutions with worldwide impact.

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