обновлено 2 дня назад
AI Developer (LLM Applications)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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