Position Overview
Job Description
- Collaborate with senior engineers and stakeholders to implement AI use cases in logistics and operations
- Build and experiment with agent workflows using frameworks like LangChain, CrewAI, or AutoGen
- Integrate LLMs with APIs, internal systems, and ERPs (e.g., SAP) using REST and basic connectors
- Support development of RAG pipelines and improve retrieval quality
- Assist in connecting and deploying agents on platforms like n8n, Copilot Studio, or Databricks/Genie
- Contribute to testing, evaluation, and prompt improvements
- Help deploy AI solutions to staging/production environments
Qualifications
- Bachelor’s degree in Computer Science, Data Science, or related field
- 0–2 years of experience (internships/projects count) in AI, software engineering, or data engineering
- Solid Python skills; basic familiarity with JavaScript/TypeScript is a plus
- Exposure to LLMs or...