3 weeks ago

Senior Python Engineer (AI/ML)

Doghouse Recruitment

Netherlands

3 weeks ago

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Senior Python Engineer (AI/ML) needed for a supply-chain-focused data integration platform. The role involves developing AI agents within an established framework, building microservices, RESTful APIs, and event-driven pipelines. Requires 5+ years of Python experience, async expertise, and a production mindset. Onsite, hybrid, or remote in Germany or the Netherlands.

AI-enabledHybridFull-timeSeniorPythonAsyncio

Senior Python Engineer (AI/ML)

Apply

AI-enabledHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Onsite, Hybrid, or Remote

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

PythonasyncioREST APIsMicroservicesEvent-driven architecturePydanticattrsTestingTelemetryDebuggingRoot cause analysisCI/CDGitHub EnterpriseTerraformPulumi

Soft Skills

Communication

Preferred Qualifications

Technical (Nice-to-have)

LLMsAgentic systemsSupply chainLogisticsJavaSageMakerBedrockAzure ML

Key Responsibilities

•Developing Pathfinder, a multi-agent AI system built on protocol-driven, microservice-oriented architecture
•Defining and implementing scalable microservices that drive data mapping, transformation, and intelligent integration
•Developing and maintaining RESTful APIs to ensure seamless communication between services and systems
•Creating and optimizing event-driven data pipelines to enable real-time processing, automation, and decision-making
•Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges
•Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability

PythonAI/MLSupply ChainData IntegrationMicroservicesREST APIsEvent-drivenSeniorRemoteNetherlands

Key Responsibilities

•Developing Pathfinder, a multi-agent AI system built on protocol-driven, microservice-oriented architecture

•Defining and implementing scalable microservices that drive data mapping, transformation, and intelligent integration

•Developing and maintaining RESTful APIs to ensure seamless communication between services and systems

•Creating and optimizing event-driven data pipelines to enable real-time processing, automation, and decision-making

•Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges

•Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability