Remote AI Engineer — LLMs, RAG & Vector Search

BairesDev; Distrito Capital; Remote; VES 52,585,000 - 96,407,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Home office hardware provided

Flexible hours

Parental leave and holidays

Multicultural global team

Mentorship and growth opportunities

Job summary

BairesDev is seeking an AI Engineer to design and deploy AI-powered applications using LLM APIs and orchestration frameworks. You will build practical AI integrations that deliver measurable value through robust engineering patterns.

Responsibilities include designing AI features, developing RAG pipelines, and maintaining vector databases to support semantic search and personalization. Join a global, remote-ready team and help drive scalable, production-grade AI solutions.

Qualifications

• 4+ years of software or AI engineering experience.
• Expertise with LLM APIs and orchestration frameworks.
• Hands-on with RAG and vector databases.

Responsibilities

• Design AI features using LLMs and prompt engineering.
• Build and manage RAG pipelines grounded in data.
• Architect vector databases for efficient search.
• Integrate embeddings and vector search into apps.
• Optimize latency, token usage and retrieval accuracy.
• Collaborate with product teams to scale AI solutions.

Skills

LLM APIs

RAG

Vector Databases

Embeddings & Semantic Search

Production AI

Tools

Python

LLM Frameworks

Vector Stores

Job description

BairesDev is seeking an AI Engineer to design and deploy AI-powered applications using LLM APIs and orchestration frameworks. You will build practical AI integrations that deliver measurable value through robust engineering patterns.

Responsibilities include designing AI features, developing RAG pipelines, and maintaining vector databases to support semantic search and personalization. Join a global, remote-ready team and help drive scalable, production-grade AI solutions.