Agentic AI ML Engineer (Remote)

Planday; København; On-site; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Pension

Health insurance

Employee Share Plan

Flexible remote work

Growth and progression opportunities

Job summary

Planday, a leading workforce management platform, is seeking a Machine Learning Engineer for Agentic AI & ML. You’ll work at the intersection of research and production, translating ambiguous challenges into shipped features that improve scheduling and operations.

From discovery to deployment, you’ll design and ship ML and agentic systems, build robust pipelines, run rigorous evaluations, and deploy services in production with attention to performance, cost, and observability.

Qualifications

• 3-5 years of hands-on experience designing, building, and deploying machine learning or data systems in production environments.
• Strong collaborative skills and ability to partner cross-functionally.
• Solid grounding in ML fundamentals (metrics, validation, leakage) and a strong theoretical foundation in AI research.
• Practical experience shipping ML or data systems in production environments beyond notebooks.
• Strong Python skills with libraries such as NumPy and pandas.
• Experience writing tested, maintainable, observable code for cloud-deployed services.
• Hands-on experience with LLM applications and agentic architectures (RAG, function calling, planning workflows).
• Familiarity with data tooling (SQL, dbt, Snowflake/Databricks) and an end-to-end product mindset.

Responsibilities

• Build and optimize ML models to enhance and extend Planday, framing problems from real metrics and engineering robust feature pipelines.
• Design and ship agentic systems involving tool use, function calling, and multi-agent orchestration for reliable planning workflows.
• Deploy and operate model services in production, ensuring performance for cost and latency through caching, batching, and quantization.
• Design and run rigorous evaluations, including LLM-as-judge and regression suites, so quality changes are always measured.
• Collaborate on turning research prototypes into reliable, observable production workflows and pipelines.

Skills

Python

NumPy

Pandas

LLM applications

Agentic architectures

SQL

dbt

Snowflake/Databricks

collaboration

Education

MSc or equivalent in a quantitative field

Tools

Cloud services

Job description

Planday, a leading workforce management platform, is seeking a Machine Learning Engineer for Agentic AI & ML. You’ll work at the intersection of research and production, translating ambiguous challenges into shipped features that improve scheduling and operations.

From discovery to deployment, you’ll design and ship ML and agentic systems, build robust pipelines, run rigorous evaluations, and deploy services in production with attention to performance, cost, and observability.