4 days ago

Applied AI Engineer

myTomorrows

Amsterdam

4 days ago

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Applied AI Engineer

myTomorrows seeks an Applied AI Engineer to help the company become more AI-native by building production-capable internal tools, workflow automations, and agentic systems. The role requires strong software engineering fundamentals, experience with LLMs and modern AI engineering, and the ability to embed with teams to solve real business problems. Based in Amsterdam, this is a hybrid position.

AIHybridFull-timeMid LevelPythonMySQL

Applied AI Engineer

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AIHybridFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid working model

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of professional software engineering experience

Core Qualifications

Technical (Must-have)

PythonMySQLPostgreSQLAWSAzureGCPLLM APIsRAGAgentic EngineeringMCPsWorkflow AutomationFastAPIPydanticSQLAlchemyGitHub Actions

Soft Skills

CommunicationIndependenceProduct SensePragmatic Mentality

Preferred Qualifications

Technical (Nice-to-have)

FastAPIPydanticSQLAlchemyuvruffpre-commitGitHub ActionsTerraformKubernetesAngularReactTypeScriptLangChainLangGraphLlamaIndex

Key Responsibilities

•Build production-capable AI-enabled internal tools, workflow automations, agents, and integrations.
•Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, and agentic workflows.
•Help teams translate ambiguous business problems into clear, testable, AI-assisted delivery plans.
•Build backend services, APIs, integrations, and internal applications using modern software engineering practices.
•Work closely with Product, Engineering, QA, DevOps, Data, Legal, Privacy, and Security to ensure AI-built software is safe, secure, observable, and maintainable.
•Design and implement evaluation approaches for AI systems.
•Create reusable playbooks, templates, prompts, Skills, MCPs and examples that help other teams adopt AI effectively.
•Help assess whether a solution should remain a lightweight internal tool, be transferred to a business owner, be hardened by Product & Engineering, or be stopped.
•Stay up to date with the rapidly evolving AI engineering landscape and translate relevant developments into practical opportunities.

Applied AI EngineerHealthTechLLMPythonAWSAgentsInternal ToolsWorkflow AutomationHybridMid Level

Key Responsibilities

•Build production-capable AI-enabled internal tools, workflow automations, agents, and integrations.

•Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, and agentic workflows.

•Help teams translate ambiguous business problems into clear, testable, AI-assisted delivery plans.

•Build backend services, APIs, integrations, and internal applications using modern software engineering practices.

•Work closely with Product, Engineering, QA, DevOps, Data, Legal, Privacy, and Security to ensure AI-built software is safe, secure, observable, and maintainable.

•Design and implement evaluation approaches for AI systems.

•Create reusable playbooks, templates, prompts, Skills, MCPs and examples that help other teams adopt AI effectively.

•Help assess whether a solution should remain a lightweight internal tool, be transferred to a business owner, be hardened by Product & Engineering, or be stopped.

•Stay up to date with the rapidly evolving AI engineering landscape and translate relevant developments into practical opportunities.