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- Tietoevry Tech Services
- Senior AI Engineer - Applied AI & Agentic Systems
Senior AI Engineer - Applied AI & Agentic Systems
AI Tools
Tech Stack
Agent Workflow
Build agent-based systems using LangGraph, LangChain, AutoGen, or Semantic Kernel. Develop applications using LLMs, RAG pipelines, embeddings, and vector databases. Apply MLOps/LLMOps practices for production deployment.
About the Role
Tietoevry is a leading Nordic digital services and software company. This role is within Tietoevry Tech Services (Vivicta Oy), focusing on designing and deploying production-ready AI applications combining data engineering, applied machine learning, and full-stack development.
Key Responsibilities:
- Develop and deploy applications using LLMs, RAG pipelines, embeddings, and vector databases
- Build agent-based systems with frameworks like LangGraph, LangChain, or AutoGen
- Design and optimize data pipelines for structured and unstructured data with governance focus
- Apply MLOps/LLMOps practices including containerization, CI/CD, and monitoring
- Build APIs and integrate AI models with business applications
- Deploy solutions across Azure AI Foundry, AWS SageMaker, and GCP Vertex
Mandatory Requirements:
- Strong communication skills in both Finnish and English (mandatory)
- 3+ years in AI/ML engineering, data engineering, or software development with production experience
- Strong Python skills
- Working knowledge of JavaScript/TypeScript
- Experience with ML/AI frameworks (PyTorch, TensorFlow, HuggingFace)
- Familiarity with LLMs, retrieval pipelines, embeddings, vector databases
- Cloud ML platform experience (Azure AI Foundry, AWS SageMaker, GCP Vertex)
- Docker/Kubernetes containerization knowledge
Preferred:
- Agent frameworks or multi-agent systems experience
- Multimodal AI expertise (text, vision, speech)
- AI evaluation frameworks (RAGAS, PyRIT, promptfoo)
- EU AI Act and Responsible AI knowledge
- Open-source contributions
Tech Stack: Python, JavaScript/TypeScript, PyTorch, TensorFlow, HuggingFace, LangGraph, LangChain, AutoGen, Semantic Kernel, Azure AI Foundry, AWS SageMaker, GCP Vertex, Docker, Kubernetes, SQL/NoSQL
Benefits:
- Professional growth and meaningful projects
- Flexible hybrid work model (telecommute available)
- Open culture emphasizing continuous learning
Posted: March 31, 2026. Closes: May 1, 2026.
EU citizenship or residency required due to GDPR and regulatory requirements.
Interviews held on a continuous basis.