Remote RAG Retrieval Engineer (Vector DB)

DeWinter Group; Campbell (CA); Remote; USD 69,000 - 241,000; Part time

Job summary

DeWinter Group is seeking a Context/Retrieval Engineer to join a 12-month contract focused on optimizing Retrieval-Augmented Generation (RAG) pipelines and hybrid search systems. You will work remotely with a client leader in AI testing and Generative AI solutions.

The ideal candidate has 3+ years in Information Retrieval or AI Engineering, deep expertise with vector databases (Pinecone, Chroma, Milvus) and LangChain/LlamaIndex, and strong Python/SQL/NLP skills, with autonomous work style and

Qualifications

• 3+ years in Information Retrieval or AI Engineering.
• Subject-matter expert in vector databases and LangChain/LlamaIndex.
• Able to work autonomously and manage time to meet goals.
• Proficient in Python, SQL, and NLP techniques.
• Strong communication with project team.

Responsibilities

• Optimize RAG pipelines to improve AI response accuracy and relevance.
• Implement chunking strategies and metadata tagging for documents.
• Select and fine-tune embedding models for domain semantics.
• Design hybrid search using vector similarity and BM25.
• Benchmark vector databases for speed and memory efficiency.

Skills

AI Engineering

Vector Databases

LangChain

Python

SQL

NLP

Autonomy

Communication

Tools

Pinecone

Chroma

Milvus

LangChain

LlamaIndex

Job description

DeWinter Group is seeking a Context/Retrieval Engineer to join a 12-month contract focused on optimizing Retrieval-Augmented Generation (RAG) pipelines and hybrid search systems. You will work remotely with a client leader in AI testing and Generative AI solutions.

The ideal candidate has 3+ years in Information Retrieval or AI Engineering, deep expertise with vector databases (Pinecone, Chroma, Milvus) and LangChain/LlamaIndex, and strong Python/SQL/NLP skills, with autonomous work style and