AI Engineer

Siili Solutions
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).

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