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AI Developer (LLM Applications)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Developer (LLM Applications) (LLMs/RAG): Building end-to-end LLM-powered applications from backend architecture to user-facing components with an accent on production integration, retrieval-augmented generation, and model evaluation. Focus on designing scalable AI systems, implementing vector database pipelines and guardrails, and deploying containerized applications in cloud environments.

Location: Helsinki, Finland; hybrid

Company

hirify.global is a technology community delivering software development and consulting services for clients across healthcare, public sector, industrial, retail, defense and security, aerospace, and gaming.

What you will do

  • Design and implement end-to-end LLM-enabled applications, from backend architecture to user-facing components.
  • Integrate commercial and open-source LLMs into production applications using APIs or fine-tuning.
  • Build RAG pipelines with embeddings, vector databases, prompt engineering strategies, and guardrails.
  • Design evaluation pipelines to benchmark model performance and safety.
  • Collaborate with client technology and business teams to develop AI use cases and select suitable technologies.
  • Contribute to software architecture, test automation, debugging, and AI-enabled development practices.

Requirements

  • Production experience with AI software development, including LLMs, backend, frontend, operations, and consulting.
  • Experience deploying AI applications in Azure, AWS, or GCP with Docker and Kubernetes.
  • Foundational DevOps knowledge, including continuous integration, automated deployment, and test automation.
  • Knowledge of vector databases and databases such as PostgreSQL with pgvector, pgvectorscale, ChromaDB, or Pinecone.
  • Understanding of transformer-based models, data privacy, GDPR, security, and ethical AI considerations.
  • Fluent Finnish and English, written and verbal; comfort engaging with client stakeholders.

Nice to have

  • Proficiency in Python or Node/TypeScript with LangChain, FastAPI, or LlamaIndex.
  • Experience with JVM-based languages.

Culture & Benefits

  • Collaborative, low-hierarchy environment with autonomy over technologies, methodologies, and ways of working.
  • Supportive community, sustainable work-life balance, and family support.
  • Internal training, community events, and access to Cloud Academy-style studies.
  • Computer, phone, home internet, lunch, recreational, commuting, and bicycle benefits.
  • Occupational healthcare, insurance coverage, subsidized massages, and an open-source program with compensation.

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