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5 дней назад

AI Native Software Engineer – Data & AI

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Native Software Engineer – Data & AI (AI/Full-Stack Software): Building and shipping production-grade full-stack software connected to agentic AI systems, with an accent on LLM API integration, AI-assisted delivery, and enterprise AI pipelines. Focus on designing application layers and APIs, evaluating AI-generated outputs, managing token and latency tradeoffs, and integrating applications with agentic backends.

Location: Hybrid in Germany, with locations in Kronberg, Essen, Dusseldorf, Dresden, Stuttgart, Hamburg, Wolfsburg, Munich, Braunschweig, Aachen, and Berlin.

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, and digital transformation services to clients across more than 120 countries.

What you will do

  • Design, build, and ship production-grade full-stack software across client programs.
  • Integrate LLM APIs into production applications, including token, latency, cost, and abstraction-layer management.
  • Use AI coding assistants across development, testing, debugging, code review, and prompt engineering.
  • Validate AI-generated outputs, assess reliability and failure modes, and determine production readiness.
  • Define and track KPIs for AI-assisted workflow effectiveness, productivity, quality, and ROI.
  • Build application layers, APIs, interfaces, reusable components, and internal standards connecting full-stack systems to agentic backends and enterprise AI pipelines.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
  • Production software engineering experience, or equivalent evidence through academic, internship, or shipped personal projects.
  • Proficiency in at least one primary backend language: Python, Java, or TypeScript.
  • Hands-on daily use of AI tools, including practical examples of solving problems, iterating on outputs, improving delivery, and calling LLM APIs in production code.
  • Understanding of token management, latency, and cost tradeoffs, plus the ability to validate and improve AI-generated outputs and apply responsible engineering judgment.
  • Basic knowledge of JavaScript, HTML, and CSS; familiarity with AWS, Azure, or GCP, Docker, CI/CD pipelines, Agile delivery, and SQL or NoSQL databases.
  • Conceptual understanding of agentic systems, orchestration frameworks such as LangChain or LangGraph, RAG pipelines, and connections between full-stack applications and agent-based architecture; production experience is preferred.
  • Very good German and English skills.

Nice to have

  • Production experience with agentic systems, orchestration frameworks, RAG pipelines, and integrations with agent-based architecture.

Culture & Benefits

  • Hybrid work in Germany across the listed locations.
  • Work across multiple industries, enterprise technology stacks, and organizational environments through client programs.
  • Access to vendor fellowship opportunities involving Anthropic, OpenAI, Microsoft, and Google engineering teams.
  • Structured AI certification pathways and development toward agentic and forward-deployed engineering.
  • Collaboration with client engineering teams in Agile sprint cycles and contribution to shared knowledge bases and internal tooling standards.

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