2 weeks ago

Applied AI Engineer

ContinuitySA

Amsterdam

2 weeks ago

Apply

Applied AI Engineer

myTomorrows is a global health tech company seeking an Applied AI Engineer to drive AI adoption across internal teams. The role focuses on building production-ready AI tools, workflows, and agents in a hybrid environment based in Amsterdam. Requires strong software engineering fundamentals, experience with LLMs and Python, and a pragmatic startup mentality.

AIHybridFull-timeMid LevelPythonLLM APIs

Applied AI Engineer

Apply

AIHybridFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years professional software engineering experience

Core Qualifications

Technical (Must-have)

PythonLLM APIsRetrieval-Augmented Generation (RAG)Workflow AutomationBackend DevelopmentRelational DatabasesMySQLPostgreSQLOracleAWSAzureGCPTestingCode ReviewObservabilitySecurityDocumentationSQLAlchemyPydanticGitHub ActionsDockerFastAPI

Soft Skills

CommunicationCollaborationProblem SolvingIndependent WorkProduct SensePragmatic Startup MentalityStakeholder Communication

Preferred Qualifications

Technical (Nice-to-have)

FastAPIPydanticSQLAlchemyuvruffpre-commitGitHub ActionsTerraformKubernetesAngularReactTypeScriptClaude CodeCodexCursorGitHub CopilotLangChainLangGraphLlamaIndexn8nAWS-native architecturesserverlessInfrastructure as CodeFrontend Development

Key Responsibilities

•Build production-capable AI-enabled internal tools, workflow automations, agents, and integrations by embedding with internal teams.
•Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, agentic workflows, prompt/context engineering, and creating evals.
•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, including test sets, human review loops, quality criteria, failure mode analysis, and monitoring.
•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 for myTomorrows.

Applied AI EngineerHealthTechNetherlandsHybridFull-timeLLMPythonBackendAI AgentScale-up

Core Qualifications

Technical (Must-have)

Soft Skills

CommunicationCollaborationProblem SolvingIndependent WorkProduct SensePragmatic Startup MentalityStakeholder Communication

Key Responsibilities

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

•Use modern LLM capabilities such as structured outputs, tool calling, retrieval-augmented generation, agentic workflows, prompt/context engineering, and creating evals.

•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, including test sets, human review loops, quality criteria, failure mode analysis, and monitoring.

•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 for myTomorrows.