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4 дня назад

Senior Software Engineer, AI Agents

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
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 Agents (Go/Python/GenAI): Building the session and memory model, retrieval and grounding, agentic workflows, document intelligence, and evaluation systems for production AI agents with an accent on multi-tenant SaaS, tool orchestration, and secure enterprise integrations. Focus on designing context persistence, multimodal inputs, RAG pipelines, API gateway integrations, and evaluation harnesses that validate autonomous behavior.

Location: Düsseldorf, North Rhine-Westphalia, Germany; hybrid work opportunities

Company

hirify.global develops enterprise software solutions powered by AI for customers worldwide, with more than 7,000 employees.

What you will do

  • Build session and context management with persistence, resumption, handovers, 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 flow runtime capabilities for multi-step work, tool use, and human-in-the-loop decisions.
  • Support speech and image inputs alongside text and build language interfaces for scheduling and optimization engines.
  • Create evaluation harnesses that validate AI output quality and autonomy before release.
  • Implement security controls covering prompt-injection resistance, personal data, guardrails, auditing, and data residency.

Requirements

  • Production experience with Go and Python or comparable backend languages.
  • Experience with service-to-service integration and orchestration using technologies such as n8n, Temporal, MuleSoft, Apache Camel, or Boomi.
  • Experience building multi-tenant SaaS products and production-grade GenAI applications, including RAG pipelines and agentic systems.
  • Experience with AI frameworks and tooling such as Pydantic AI, LangChain, and MCP, including MCP development and plan-based agentic software.
  • Experience with Docker, Kubernetes, CNCF technologies, CI/CD pipelines, and API gateways such as Kong or Tyk.
  • Hands-on production experience with live systems used by real users is required; demos, hackathons, and personal projects alone are insufficient.

Nice to have

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

Culture & Benefits

  • Hybrid work opportunities and flexibility to support different needs and lifestyles.
  • Inclusive, diverse, and collaborative international work environment.
  • Opportunity to contribute to AI-driven enterprise solutions and sustainability-focused initiatives.

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