onsite
AI/ML Engineer - Leuwint
ML Engineer
We are looking for an AI/ML Engineer to design, build, and deploy machine‑learning and generative‑AI solutions, leveraging Python, NLP, prompt engineering, and frameworks such as LangChain while implementing robust MLOps pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end AI/ML and generative AI solutions for real‑world business problems.
- Build applications that integrate large language models (LLMs), Retrieval‑Augmented Generation (RAG), AI agents, and copilots.
- Implement and maintain data pipelines, vector stores, and AI integration layers.
- Apply prompt engineering techniques to optimize LLM performance and reliability.
- Collaborate with cross‑functional teams to operationalize models using MLOps/LLMOps best practices.
Requirements
- 2+ years of hands‑on experience developing AI/ML or generative AI solutions.
- Strong proficiency in Python and core machine‑learning concepts.
- Experience with NLP, LLMs, and prompt engineering.
- Practical knowledge of LangChain, LangGraph, LlamaIndex, or comparable frameworks.
- Familiarity with MLOps/LLMOps tools and processes for model deployment and monitoring.
Skills
pythonmachine learningnatural language processinglangchainmlops