13 AI Engineer jobs in Finland available for remote work from home. Apply for positions such as AI Engineer, Senior AI Engineer - Internal Solutions, Integration & Test Automation Engineer (AI Platform) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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As an AI Engineer, you will develop and optimize AI components for CoreStory’s narrative intelligence platform. This includes working on LLM integration, vector search systems, and retrieval-augmented generation pipelines.
You will build and operate an agentic support layer that resolves customer inquiries by integrating with internal systems and orchestrating LLM-based workflows. This role involves ensuring data isolation, implementing robust event-driven pipelines, and designing escalation paths to human specialists.
The engineer will develop and maintain automated test suites for multi-stage DevSecOps workflows and validate system integrations across AI-enabled platforms. They will collaborate with cross-functional teams to integrate testing into CI/CD pipelines and ensure reliability, security, and quality standards are met.
Lead the design and implementation of production AI systems to solve business problems for partners. Drive the organization's AI strategy through technical leadership, innovation, and mentorship of engineering teams.
You will lead and execute core 0-to-1 initiatives in AI, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive critical milestones from prototype to production.
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You will lead and execute core 0-to-1 initiatives in AI, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive rapid implementation from prototype to production.
The AI Native Engineer will build and embed AI-powered workflows across growth marketing, creative production, CRM, and landing pages to automate processes and improve performance. They will also develop internal tools and infrastructure to reduce manual analytical work and accelerate decision-making across the growth organization.
You will own AI-powered features end-to-end, from product framing and API design to implementation and performance metrics. You will also mentor team members and contribute to the company's shared AI toolkit and engineering standards.
Develop pipelines to extract complex data from visual documents using Vision-Language Models and layout analysis. Orchestrate AI agents and chains using LangChain or LangGraph to reason about data and generate accurate responses.
Architect and develop robust ETL pipelines for graph ingestion and manage high-volume data streams using Kafka. Ensure graph hygiene through automated deduplication and optimize query performance for large-scale datasets.
The engineer will own the inference backbone for QVAC's local AI stack, focusing on the C++ systems layer to ensure models run fast, reliably, and predictably on user hardware. Responsibilities include porting and enhancing inference engines like llama.cpp and ONNX to run efficiently on edge devices, focusing on runtime stability and performance.
You will engineer and operate the AI runtime control plane and inline enforcement pipeline across multi-cloud environments. Additionally, you will lead deep investigations into AI-specific security incidents and implement closed-loop defensive systems based on red-team findings.
You will lead a technical squad in building AI-powered financial products, owning the architecture, delivery, and production performance. You will also mentor engineers, define technical standards, and partner with compliance and operations teams to ensure robust, scalable solutions.
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