AI Search Engineer – Remote

About the role

As an AI Search Engineer at BairesDev, you will design and implement advanced retrieval systems that power semantic and hybrid search capabilities for AI applications. You will work remotely with a global team of top‑tier engineers to deliver high‑impact solutions.

Key responsibilities

• Design and manage vector database architectures (e.g., Pinecone, Qdrant, Weaviate) to support semantic search.
• Develop and optimize retrieval‑augmented generation (RAG) pipelines, focusing on embeddings and chunking strategies.
• Implement sophisticated reranking techniques such as ColBERT and Reciprocal Rank Fusion to improve result precision.
• Build and maintain hybrid search solutions that combine keyword and vector‑based retrieval methods.
• Evaluate and iterate on search performance using frameworks like RAGAS to ensure production‑grade reliability.
• Collaborate with AI teams to integrate search components into broader LLM‑driven workflows.

Required profile

• 4+ years of experience in Software Engineering, AI Engineering, or Data Engineering.
• Proven expertise in building and optimizing RAG pipelines.
• Advanced proficiency in English.

Required skills

• Python programming.
• Vector databases: Pinecone, Qdrant, Weaviate.
• Embedding techniques and chunking strategies.
• Reranking algorithms: ColBERT, Reciprocal Rank Fusion.
• RAG evaluation frameworks such as RAGAS.

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible schedule and paid parental leave, vacations, national holidays.
• Multicultural environment with mentorship, promotions, and skill‑development opportunities.