LLM AI Engineer — End-to-End AI Solutions & Impact

Reaktor; Helsingin seutukunta; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work approach

Strong community support

Sustainable work-life balance

Internal training & events

Cloud Academy

Job summary

Reaktor in Helsinki is seeking AI Developers to join a collaborative tech community focused on building LLM-powered applications across the full software lifecycle.

You’ll design end-to-end AI software, integrate OpenAI/Anthropic/Meta models, and work with RAG pipelines, embeddings, and vector stores while collaborating with client teams to select the right technologies and deliver world-class AI solutions.

Qualifications

• Experience in AI software development in production environments.
• Experience deploying AI applications in cloud environments (Azure, AWS, GCP) with containers/orchestration (Docker, Kubernetes).
• Knowledge of vector databases and related tech (PostgreSQL + pgvector, chromaDB, pinecone).
• Fluent Finnish and English skills, both written and spoken.

Responsibilities

• Design and implement end-to-end LLM-enabled applications from backend to frontend.
• Integrate commercial and open-source LLMs into production apps and workflows.
• Develop end-to-end RAG pipelines with embeddings and vector databases and guardrails.
• Design and implement evaluation pipelines for model performance and safety.
• Collaborate with cross-functional teams and client stakeholders to select suitable technologies.
• Contribute to software architecture, testing, and debugging.

Skills

AI software development

Cloud deployment

DevOps fundamentals

Client engagement

Finnish & English fluency

Tools

Docker

Kubernetes

PostgreSQL + pgvector

chromaDB

pinecone

LangChain

FastAPI

LlamaIndex

Python

Node.js/TypeScript

Job description

Reaktor in Helsinki is seeking AI Developers to join a collaborative tech community focused on building LLM-powered applications across the full software lifecycle.

You’ll design end-to-end AI software, integrate OpenAI/Anthropic/Meta models, and work with RAG pipelines, embeddings, and vector stores while collaborating with client teams to select the right technologies and deliver world-class AI solutions.