Production AI Engineer: LLMs & MLOps

Siili Solutions Plc; Finland (MN); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hybrid work

Well-being support

Hobby clubs

Daycare support

Share option program

Job summary

Siili Solutions Plc seeks an AI Engineer to design, build, and deploy AI solutions that move from prototyping to production. You’ll collaborate with data scientists to turn models into robust, scalable products and apply MLOps for reproducibility and monitoring.

You'll work with Azure, AWS, and GCP and stay ahead of the evolving AI landscape, bringing responsible AI practices into client projects and contributing to a data-driven consulting culture.

Qualifications

• 2+ years of experience in AI/ML engineering or data science, with a solid understanding of key ML concepts such as classification, regression, NLP, and generative AI.

Responsibilities

• Design and implement end-to-end AI solutions from prototyping to production deployment.
• Build and optimize LLM-powered applications and agentic systems integrated into real business processes and systems.
• Collaborate with data scientists to turn models into robust, scalable products.
• Apply MLOps practices to ensure reproducibility, monitoring, and continuous improvement.
• Work with modern cloud environments (Azure, AWS, GCP) and open-source AI frameworks.
• Stay curious about the fast-evolving AI landscape and bring that insight into client projects.
• Excellent communication and consulting skills to guide stakeholders around AI capabilities.

Skills

AI/ML engineering

ML concepts

LLM

agentic applications

MLOps

CI/CD

containers

cloud environments

data pipelines

Finnish

English

Tools

Azure AI Foundry

Amazon Bedrock

Snowflake

Databricks

Azure

AWS

GCP

Python

Pinecone

pgvector

ChatGPT

Cursor

GitHub Copilot

Claude Code

OpenAI Codex

LangGraph

LlamaIndex

Haystack

MagentIC

Strands

Job description

Siili Solutions Plc seeks an AI Engineer to design, build, and deploy AI solutions that move from prototyping to production. You’ll collaborate with data scientists to turn models into robust, scalable products and apply MLOps for reproducibility and monitoring.

You'll work with Azure, AWS, and GCP and stay ahead of the evolving AI landscape, bringing responsible AI practices into client projects and contributing to a data-driven consulting culture.