Junior ML Engineer (Agentic Systems) in AI Foundations is a ML Engineer role (full-time). with Schibsted. in STOCKHOLM, SE. Imported listing (source: ottoroles.com). Apply on the employer's site (ottoroles.com).
Imported listing (source: ottoroles.com) · Apply on ottoroles.com
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Imported job description
Sourced from ottoroles.com
Schibsted's AI Foundations team is seeking a Junior ML Engineer to help build and operate their central AI platform, focusing on agentic systems. You will work on the agent platform, MCP gateway, observability, and evaluations, collaborating with teams across the organization. This role is ideal for someone with 0-2 years of experience who is passionate about LLM agents and platform engineering.
Responsibilities
Extend and operate the agent platform built on AWS AgentCore, helping teams deploy and debug agents.
Build well-tested tools and harnesses that give agents safe access to internal code, data, and services.
Help run the MCP gateway and skills registry to ensure proper access and sharing.
Turn common patterns into platform features, standards, templates, and guidance.
Set up tracing, dashboards, and per-team cost reporting for agent runs.
Write evaluations for agent behavior and tool use, and test for prompt injection and over-permissioned tools.
Be the first point of contact for engineers, data scientists, and journalists building agents.
Stay current with the agentic ecosystem and help separate worthwhile adoptions from hype.
Requirements
0–2 years of experience as an ML, AI, or software engineer (internships, thesis work, and open source contributions count).
Schibsted is a Nordic family of digital brands spanning online marketplaces, media houses, and technology ventures. Its mission is to empower people in their daily lives through digital services and content.