6 days ago

Senior AI Engineer – Agentic Systems & LLM Applications

Jobgether

Netherlands

6 days ago

Apply

Senior AI Engineer role focused on building agentic systems and LLM applications for an internet marketplace platform. Requires proven experience with production LLM applications, agent orchestration, advanced RAG pipelines, and Python and/or TypeScript with Node.js. Based in the Netherlands as part of a distributed, global-first team.

Core AIOn-siteFull-timeSeniorPythonTypeScript

Senior AI Engineer – Agentic Systems & LLM Applications

Apply

Core AIOn-siteFull-timeSeniorPython

Salary

Not specified

Work Location

Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

PythonTypeScriptNode.jsLangChainLlamaIndexPineconeWeaviateMilvusRetrieval-Augmented Generation (RAG)Vector databasesAgent frameworksTool callingFunction callingAutonomous planningMachine Learning pipelines

Soft Skills

Product intuitionProblem-solvingAutonomyOwnershipCollaboration

Key Responsibilities

•Design and implement autonomous agents and multi-agent orchestration systems capable of handling complex, open-ended tasks.
•Build and optimize production-grade applications on top of leading foundation models, with a focus on reliability, observability, scalability, and low-latency performance.
•Architect advanced Retrieval-Augmented Generation (RAG) pipelines and vector database strategies that provide agents with accurate, relevant, and real-time context.
•Develop sophisticated tool-calling, planning, reasoning, and autonomous execution workflows for AI agents.
•Contribute to AI-powered developer tools and internal frameworks that accelerate the development and deployment of AI-native products.
•Establish rigorous evaluation frameworks and Evals to measure model and agent performance in production environments.
•Implement monitoring, fine-tuning, testing, and optimization pipelines to improve accuracy, reliability, and safety.
•Collaborate across product and engineering functions to integrate foundation models into solutions that address real-world user needs.
•Help shape the technical architecture and engineering practices for scalable AI-native systems.
•Continuously evaluate emerging AI technologies, frameworks, and approaches and identify opportunities to incorporate them into production systems.

AI EngineerAgentic SystemsLLM ApplicationsRAGPythonTypeScriptInternet MarketplaceSeniorOn-siteNetherlands

Key Responsibilities

•Design and implement autonomous agents and multi-agent orchestration systems capable of handling complex, open-ended tasks.

•Build and optimize production-grade applications on top of leading foundation models, with a focus on reliability, observability, scalability, and low-latency performance.

•Architect advanced Retrieval-Augmented Generation (RAG) pipelines and vector database strategies that provide agents with accurate, relevant, and real-time context.

•Develop sophisticated tool-calling, planning, reasoning, and autonomous execution workflows for AI agents.

•Contribute to AI-powered developer tools and internal frameworks that accelerate the development and deployment of AI-native products.

•Establish rigorous evaluation frameworks and Evals to measure model and agent performance in production environments.

•Implement monitoring, fine-tuning, testing, and optimization pipelines to improve accuracy, reliability, and safety.

•Collaborate across product and engineering functions to integrate foundation models into solutions that address real-world user needs.

•Help shape the technical architecture and engineering practices for scalable AI-native systems.

•Continuously evaluate emerging AI technologies, frameworks, and approaches and identify opportunities to incorporate them into production systems.