3 days ago
Helsinki, FinlandSenior
Responsibilities
- Design and implement scalable, maintainable end-to-end LLM applications from backend architecture through user-facing components.
- Integrate commercial and open-source LLMs into production applications and workflows using APIs or fine-tuning.
- Build RAG pipelines involving embeddings, vector databases, prompt engineering, and guardrails.
- Design evaluation pipelines to benchmark model performance and safety.
- Collaborate with cross-functional teams and clients to develop AI use cases and select suitable technologies.
- Advise client technology and business teams and provide technical expertise throughout projects.
- Develop AI-enabled software development processes and ways of working.
- Contribute to software architecture and design, test automation, debugging, and other software development tasks.
Requirements
- Production experience with AI software development technologies, backend and frontend development, operations, and consulting.
- Experience deploying AI applications in cloud environments such as Azure, AWS, or GCP.
- Experience with containerization and orchestration using Docker and Kubernetes.
- Foundational knowledge of DevOps, continuous integration, automated deployment, and test automation.
- Knowledge of vector databases and databases such as PostgreSQL, pgvector, pgvectorscale, ChromaDB, or Pinecone.
- Understanding of data privacy, security, and ethical considerations for sensitive AI data.
- Understanding of transformer-based models and infrastructure concepts.
- Comfort engaging with client stakeholders.
- Fluent verbal and written Finnish and English.
- Experience with Python or Node.js/TypeScript and frameworks such as LangChain, FastAPI, or LlamaIndex may be required for some projects.
- Proficiency in JVM-based languages may be required for some projects.
Benefits
- Collaborative, low-hierarchy work environment with flexibility to choose approaches, technologies, and methodologies with clients and teams.
- Supportive and experienced community with opportunities to influence how work is performed.
- Sustainable work-life balance and practical support including a free moving day, Reaktor car share, sick child care services, and office space for private events.
- Internal training courses, community events, technology discussions, and opportunities for extended academy-style studies such as Cloud Academy.
- Access to more than 300 supported hobby clubs and community activities.
- Role based in Helsinki.
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