TL;DR

Engineering Manager (AI Agents): Leading a team focused on building next-generation generative AI experiences and evolving core discovery systems with an accent on agentic AI, large language models, and scalable ML solutions. Focus on architecting and deploying production-grade AI systems, fostering team health, and managing cross-team dependencies for seamless integration into end-user experiences.

Location: Hybrid, primarily working from one of the company's offices in Stockholm, London, New York, Los Angeles, Berlin, Oslo, or Seoul.

Company

%hirify_global% is an industry leader in soundtracking, blending tech and music innovation to transform streaming, content, and culture globally.

What you will do

Own the technical roadmap and strategy for AI-powered discovery experiences, including LLMs and agentic systems.
Lead the full engineering and delivery lifecycle from prototyping to production for high-quality, scalable ML solutions.
Drive the definition, implementation, and evangelization of best practices in ML engineering and system design in the team.
Build and maintain team health through effective rituals, 1:1s, and fostering a high-ownership, collaborative culture.
Manage cross-team dependencies and collaborate closely with product, data, MLOps, and design teams.

Requirements

Deep ML engineering background with hands-on experience in LLM, NLP, information retrieval, or agentic AI systems.
Proven experience deploying high-quality, production-grade ML systems at scale.
Strong technical leadership in ML system design and architecture across the full machine learning lifecycle.
Track record of managing and mentoring engineering teams.
Demonstrated ability to set clear goals, manage performance, and grow engineers through coaching and feedback.

Culture & Benefits

Hybrid work model with majority of time spent in the office for collaboration.
Emphasis on diversity, inclusion, and a healthy workplace.
Opportunity to transform the sound of streaming, content, and culture.