LangChain and Python Developer – Singapore

A LangChain and Python Developer specializes in building applications leveraging Large

Language Models (LLMs) and the LangChain framework. This role focuses on developing,

optimizing, and deploying sophisticated RAG (Retrieval-Augmented Generation) systems and

generative AI applications.

Key Responsibilities

• LLM Application Development: Design and implement end-to-end applications using

Python and the LangChain framework to orchestrate complex LLM calls, agents, chains,

and custom tools.

• RAG System Engineering: Develop and optimize data pipelines for ingestion,

chunking, embedding generation, and vector database indexing to improve RAG

performance and context relevance.

• Model Tuning: Work with various LLMs (e.g., OpenAI, Claude, Llama) and implement

prompt engineering techniques and fine-tuning strategies to achieve desired application

behavior.

• Deployment and Scalability: Deploy and maintain LLM applications in a production

environment, ensuring high performance, low latency, and adherence to cost

constraints.

• Evaluation: Develop metrics and evaluation frameworks for testing and monitoring the

quality and reliability of LLM outputs.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 3+ years of professional experience in Python development.
• 1+ years of hands-on experience developing with LangChain or similar LLM

orchestration frameworks.

• Experience with vector databases (e.g., Pinecone, Chroma, Milvus) and embedding

models.

• Solid understanding of cloud platforms (AWS, Azure, or GCP) for application

deployment.