2 days ago

AI Engineer

MarvelX AI

Amsterdam

2 days ago

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AI Engineer

MarvelX is seeking a founding AI Engineer to build and deploy AI agents for complex, regulated industries like insurance and finance. The role involves working directly with founders and tech lead to design agentic systems using LLMs, RAG, and multi-agent orchestration, requiring 4-6 years of AI/ML experience and strong Python skills.

Core AIRemoteFull-timeMid LevelPythonPyTorch

AI Engineer

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Core AIRemoteFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Experience Required

6 years

Employment Type

Full-time

Experience Level

4-6 years

Core Qualifications

Technical (Must-have)

PythonPyTorchTensorFlowOpenAI APIsVector DBsLLMsAgentic architecturesData engineeringPipelinesPreprocessingModel deploymentRAGTool-useMulti-agent orchestration

Soft Skills

ProactiveScrappyShip fastProblem solving

Preferred Qualifications

Technical (Nice-to-have)

ComplianceFintechRegulated domains

Key Responsibilities

•Build and deploy AI agents that handle real-world workflows in insurance, banking and other financial services domains.
•Experiment with LLMs, retrieval-augmented generation (RAG), tool-use, and multi-agent orchestration to push performance.
•Design pipelines that ensure explainability, traceability, and auditability for every decision the AI makes.
•Collaborate directly with product, design, and GTM to rapidly iterate on customer feedback.
•Optimize models and systems for production: latency, accuracy, scalability, and security.
•Stay ahead of the curve: explore new architectures, open-source tools, and research to keep MarvelX at the frontier.

AI EngineerTechnologyInformation and InternetEngineeringInformation TechnologyFull-timeRemoteLLMsRAGAgentic architectures

Key Responsibilities

•Build and deploy AI agents that handle real-world workflows in insurance, banking and other financial services domains.

•Experiment with LLMs, retrieval-augmented generation (RAG), tool-use, and multi-agent orchestration to push performance.

•Design pipelines that ensure explainability, traceability, and auditability for every decision the AI makes.

•Collaborate directly with product, design, and GTM to rapidly iterate on customer feedback.

•Optimize models and systems for production: latency, accuracy, scalability, and security.

•Stay ahead of the curve: explore new architectures, open-source tools, and research to keep MarvelX at the frontier.