Agentic Artificial Intelligence Engineer

Trimble
Full-timeSenior

AI Tools

AutoGPTLangChainLlamaIndex

Tech Stack

PythonRAGVector DatabasesDSPyDatadogDatabricksLangChainLlamaIndex

Agent Workflow

Building LLM-powered autonomous agents for freight and logistics. Architecting embedding pipelines, retrieval evaluators, and agent services with vector databases.

About the Role

Agentic Artificial Intelligence Engineer

Trimble seeks an experienced engineer to design and deploy sophisticated GenAI solutions that connect the digital and physical worlds. The role focuses on building LLM-powered autonomous agents for the freight and logistics industry.

Responsibilities

  • Architect advanced embedding systems and retrieval evaluators
  • Integrate intelligent agent services with APIs and vector databases
  • Implement cutting-edge fine-tuning and prompt engineering frameworks
  • Build cloud-native microservices
  • Own production lifecycle management through CI/CD pipelines and observability tools (Datadog/Databricks)
  • Develop comprehensive evaluation suites for model performance

Required Qualifications

  • 6+ years of engineering experience
  • Advanced Python proficiency with scaling expertise
  • Minimum 6 months hands-on GenAI application development
  • Strong RAG framework knowledge (vector databases, hybrid search, ANN algorithms)
  • B.Tech/M.Tech/M.S. in Computer Science from a premier institute

Desired Background

  • National-level olympiad recognition
  • Open-source contributions (LangChain, LlamaIndex, AutoGPT)
  • Published technical papers
  • Personal GenAI project portfolios
  • Community engagement at technical forums

Remote position based in Germany. Posted April 7, 2026. Job ID: R55402.

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