- Jobs
- Siili Solutions
- AI Engineer
AI Engineer
Full-timeMid
AI Tools
Claude CodeGPTHaystackLangGraphLiteLLMLlamaIndexMCPMagenticStrandsvLLM
Tech Stack
PythonAzureAWSGCPPineconepgvectorSnowflakeDatabricksDockerKubernetes
Agent Workflow
Build and optimize LLM-powered applications and agentic systems using frameworks like MCP, LangGraph, LlamaIndex, Haystack, Magentic, and Strands. Core LLM concepts include RAG, CoT, reasoning models, memory, fine-tuning, tool use, and self-correction.
About the Role
Siili Solutions is an AI-powered development partner founded in 2005 with 1000+ employees. They focus on designing and building digital services that leverage artificial intelligence.
As an AI Engineer, you will design end-to-end AI solutions from prototype to production, build LLM and agentic systems, collaborate with data scientists, implement MLOps practices, and work across cloud platforms.
Key Responsibilities:
- Designing and implementing end-to-end AI solutions, from prototyping to production deployment
- Building LLM-powered applications and agentic systems integrated into real business processes
- Collaborating with data scientists on production-grade implementations
- Applying MLOps practices for reproducibility and monitoring
- Working with Azure, AWS, and GCP environments
Required Qualifications:
- 2+ years in AI/ML engineering or data science
- Production-grade LLM and agentic application development experience
- Proficiency with MLOps, CI/CD, containers, and cloud environments
- Data pipeline design and maintenance capabilities
- Knowledge of core LLM concepts: tokenization, RAG, CoT, reasoning models, memory, fine-tuning, tool use, and self-correction
- Fluency in Finnish and English
- Strong communication and consulting abilities
Technology Stack:
- LLM & Middleware: GPT, Claude, open-source models, LiteLLM, vLLM
- Agentic Frameworks: MCP, LangGraph, LlamaIndex, Haystack, Magentic, Strands
- Platforms: Azure AI Foundry, Amazon Bedrock, Snowflake, Databricks
- Cloud: Azure, AWS, GCP
- Additional: Python, vector databases (Pinecone, pgvector), AI development tools
Benefits:
- Flexible hybrid work and well-being support
- Mental health focus including Brain-Friendly Leadership training
- Learning partnerships with Microsoft, Databricks, and Nvidia
- Share option program and hobby clubs
- Professional development opportunities
Locations: Helsinki, Joensuu, Jyvaskyla, Kuopio, Oulu, Seinajoki, Tampere (Finland).