4 weeks ago

Principal Agentic AI Engineer

Carollo Engineers

Amsterdam

4 weeks ago

Apply

HERE Technologies seeks a Principal Agentic AI Engineer to design and integrate AI-driven systems in Amsterdam. Requires 10+ years experience, expertise in Rust, TypeScript, and Python, and a degree in CS or related field.

HybridFull-timePrincipalRustTypeScript

Principal Agentic AI Engineer

Apply

HybridFull-timePrincipalRust

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

10 years

Employment Type

Full-time

Experience Level

Principal

Core Qualifications

Technical (Must-have)

RustTypeScriptPythonAPIsdistributed systemsagentic frameworksLLM-based applicationsAI/ML modelssystem designdata flow

Soft Skills

experimental mindsetrapid iterationhands-onproblem solvingcollaboration

Key Responsibilities

•Design and implement complex system logic for AI-driven workflows and interactions.
•Develop reusable components and scalable system patterns.
•Integrate multiple services, models, and data sources into cohesive systems.
•Design and implement system logic enabling AI-driven workflows and interactions.
•Integrate multiple data providers and services into unified execution flows.
•Bridge backend systems, models, and user-facing interaction layers.
•Implement and experiment with different system interaction patterns and workflows.
•Enable systems to act through structured tool interfaces and APIs.
•Build reusable components for interaction handling and execution.
•Prototype, test, and iterate quickly on new approaches and technologies.
•Evaluate trade-offs between performance, cost, and reliability.
•Support development of UI-facing components, reference clients, and interaction flows.
•Implement session handling and context management where needed.

Principal Agentic AI EngineerArtificial IntelligenceRustTypeScriptPythonHybridFull-timeHERE TechnologiesAmsterdam

Key Responsibilities

•Design and implement complex system logic for AI-driven workflows and interactions.

•Develop reusable components and scalable system patterns.

•Integrate multiple services, models, and data sources into cohesive systems.

•Design and implement system logic enabling AI-driven workflows and interactions.

•Integrate multiple data providers and services into unified execution flows.

•Bridge backend systems, models, and user-facing interaction layers.

•Implement and experiment with different system interaction patterns and workflows.

•Enable systems to act through structured tool interfaces and APIs.

•Build reusable components for interaction handling and execution.

•Prototype, test, and iterate quickly on new approaches and technologies.

•Evaluate trade-offs between performance, cost, and reliability.

•Support development of UI-facing components, reference clients, and interaction flows.

•Implement session handling and context management where needed.