Lead AI Engineer (Python) — Remote & Flexible

BairesDev; Antioquia; Remote; COP 381,959,000 - 636,598,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Hardware provided

Flexible hours

Parental leave & holidays

Job summary

BairesDev is seeking a Lead AI Engineer (Python) to shape the technical direction of advanced AI systems, design production-grade retrieval and modeling architectures, and build scalable APIs that expose AI capabilities to enterprise applications.

You will mentor engineers, translate complex requirements into robust designs, and collaborate with stakeholders to ensure reliability, observability, and performance in production environments.

Qualifications

• 5+ years of software/AI engineering experience.
• Experience building and deploying RAG systems, including vector stores and embedding pipelines.
• Strong Python skills and experience building asynchronous APIs (FastAPI, Pydantic, async SQLAlchemy).
• Hands-on experience deploying LLM APIs in production and implementing MLOps practices (model registry, observability).
• Excellent English communication and stakeholder alignment.

Responsibilities

• Lead the design and deployment of scalable AI systems and data retrieval pipelines.
• Develop robust APIs to expose AI capabilities to enterprise applications.
• Establish best practices for production deployment, monitoring, and observability.
• Mentor engineering team members and align technical strategies with business objectives.
• Collaborate with stakeholders to translate complex requirements into robust architectural designs.

Skills

Python

RAG systems

Async APIs

Mentoring

English

Tools

FastAPI

Pydantic

SQLAlchemy

Job description

BairesDev is seeking a Lead AI Engineer (Python) to shape the technical direction of advanced AI systems, design production-grade retrieval and modeling architectures, and build scalable APIs that expose AI capabilities to enterprise applications.

You will mentor engineers, translate complex requirements into robust designs, and collaborate with stakeholders to ensure reliability, observability, and performance in production environments.