AI Engineering Architect
Owns Muse Group's internal AI engineering tooling — agentic coding workflows, evals, AI-assisted code review and automation — to hit a 5x development acceleration target, including LLM/provider selection and build-vs-buy decisions. Requires production experience with LLM-powered developer tooling (RAG, evals) and deep CI/CD knowledge.
- Compensation
- Not disclosed
- Location
- Cyprus or Remote
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Strong hands-on experience building AI/LLM-powered developer tooling in production (agentic coding, RAG, evals)
- Track record of measurably improving engineering velocity through tooling — proving impact, not just introducing tools
- Deep familiarity with modern software delivery (CI/CD, code review practices, testing)
- Able to make and defend technical infra decisions (model/provider selection, build vs buy)
- Comfortable working directly with engineering leadership and individual contributors
Nice to have
- Prior experience as a platform engineer, DevEx lead, or AI/ML infra engineer
- Experience with agentic coding tools (Claude Code, Cursor, similar) at scale in an org
- Background in eval/benchmark design for measuring tool impact
Full description
We are looking for an AI Engineering Architect to own the internal AI tooling and infrastructure that accelerates product development - agentic coding, evals, automation of engineering workflows.
Key responsibilities
- Build and own the AI tooling stack for engineering: agentic coding workflows, evals, permission rules, AI-assisted code review, testing, and deployment automation
- Drive and be accountable for the 5x development acceleration target
- Identify and remove the biggest AI-addressable bottlenecks in the engineering workflow, in partnership with Engineering leadership
- Make and own model/provider selection decisions for engineering tooling (which LLMs, which infra, build vs buy)
- Continuously evaluate and roll out new AI-assisted development practices as the tooling landscape evolves
- Set up evals/benchmarks to measure whether AI tooling is actually improving velocity (not just adopted)
Requirements
- Strong hands-on experience building AI/LLM-powered developer tooling in production (agentic coding, RAG, evals)
- Track record of measurably improving engineering velocity through tooling — not just introducing tools, but proving impact
- Deep familiarity with modern software delivery (CI/CD, code review practices, testing) to know where AI actually helps vs adds noise
- Able to make and defend technical infra decisions (model/provider selection, build vs buy)
- Comfortable working directly with engineering leadership and individual contributors
- Prior experience as a platform engineer, DevEx lead, or AI/ML infra engineer
- Experience with agentic coding tools (Claude Code, Cursor, similar) at scale in an org
- Background in eval/benchmark design for measuring tool impact
Benefits
Creativity every day: Make inspiring products for musicians, artists and creators – no day is the same.
Impactful work Influence the future of the music industry and change the lives of millions worldwide.
Work set up: We’ll make sure you’re set up for success with the right work equipment, whether that’s company-provided hardware or an equipment allowance.
Growth and development: Receive specialized training, language lessons, conferences and learning materials.
Team well-being: Support for your mental health and wellbeing, including confidential help during life’s tougher moments.