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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В роли есть практическая работа с интеграцией LLM в production и понятный путь к развитию в агентной инженерии, но проекты и рабочая среда могут меняться из-за клиентского формата.
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Текст:
Hirify AI/Оригинал
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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