Job Description
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Your tasks
- 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
Your profile
- 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 AI APIs (OpenAI, Anthropic, or open-source models)
- Familiarity with at least one agent framework or orchestration tool (LangChain, LlamaIndex, n8n, etc.)
- Basic understanding of APIs, REST services, and system integrations
- Interest in RAG systems, vector databases, and prompt engineering
- Willingness to learn about deployment, cloud platforms, and enterprise integrations
- Interest in supply chain/logistics or ERP systems is a plus
