Remote AI Search Engineer: RAG & Vector Retrieval

BairesDev; Distrito Capital; Remote; VES 107,720,000 - 161,580,000; Full time

Benefits offered by this job

100% remote work

USD or local currency pay

Hardware and software setup for home

Flexible hours

Parental leave and vacations

Global, multicultural team

Mentorship and growth opportunities

Job summary

BairesDev is hiring a Search Engineer (AI) to design and implement advanced retrieval systems for AI applications. You will translate complex user intent into efficient search architectures and scale RAG systems across teams.

Join a global, 100% remote team that values collaboration, mentorship, and career growth while delivering high-impact AI solutions in a flexible work environment.

Qualifications

• 4+ years of experience in software/AI/data engineering.
• Proven expertise in building and optimizing RAG pipelines.
• Proficiency in Python and vector databases (Pinecone, Qdrant, Weaviate).
• Hands-on embedding, chunking, and reranking techniques.
• Familiar with RAG evaluation frameworks such as RAGAS.
• Advanced English proficiency.

Responsibilities

• Design and implement vector DB architectures for semantic search.
• Develop and optimize retrieval-augmented generation pipelines with embeddings.
• Implement reranking techniques (e.g., ColBERT) to improve precision.
• Build and maintain hybrid search solutions (keyword + vector).
• Collaborate with AI teams to integrate search into LLM workflows.

Skills

4+ years exp

Python

RAG pipelines

Vector DBs

Embedding tech

English

Tools

Pinecone

Qdrant

Weaviate

Job description

BairesDev is hiring a Search Engineer (AI) to design and implement advanced retrieval systems for AI applications. You will translate complex user intent into efficient search architectures and scale RAG systems across teams.

Join a global, 100% remote team that values collaboration, mentorship, and career growth while delivering high-impact AI solutions in a flexible work environment.