Role Overview

We’re building a new product in the real estate tech space and are looking for a Senior AI Engineer to join our founding AI team. You’ll help turn generative AI ideas into production-ready features, architect and ship AI-powered agents, and influence the long-term technical direction of our AI roadmap. You’ll work closely with our existing product stack (Ruby on Rails + React) and leverage AWS AI infrastructure to deliver scalable, secure, high-performing systems.

Key Responsibilities

AI Agent Development

- Design, build, and maintain intelligent, autonomous, or conversational AI agents to automate workflows and improve user productivity.

- Implement agentic patterns and orchestration for real-world product use cases.

AI/ML System Development (End-to-End)

- Architect, develop, and maintain scalable end-to-end AI systems and generative AI applications using AWS AI services and open-source frameworks.

- Own the AI lifecycle from concept and design through deployment, monitoring, and iteration.

Full-Stack Integration

- Partner with backend (Ruby on Rails) and frontend (React) engineers to integrate AI-driven capabilities into the core product experience.

- Build APIs/services that support reliable AI features and excellent UX.

Data Pipeline Management

- Develop and manage robust pipelines for ingestion, processing, and transformation of real estate datasets to support model training and inference.

- Ensure data quality, lineage, and consistency across workflows.

Performance Monitoring & Optimization

- Monitor and optimize deployed models, agents, and APIs for reliability, accuracy, latency,



and cost efficiency.

- Establish best practices for observability and performance tracking.

Collaboration & Technical Leadership

- Collaborate closely with product, data, and engineering teams to define requirements, validate solutions, and champion AI best practices.

- Contribute to coding standards, mentor peers, and help shape the long-term AI technical roadmap.

Innovation & Applied Research

- Evaluate and apply new technologies in LLMs, Retrieval-Augmented Generation (RAG), and agentic AI to solve complex problems.

Qualifications (Required)

- Bachelor’s or advanced degree in Computer Science, Data Science, or a related field.

- 5+ years of experience in AI/ML or software engineering roles with exposure to production-grade AI systems.

- Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or LangChain (or equivalents).

- Hands-on experience deploying AI models/services in a cloud environment (AWS preferred).

- Strong understanding of data structures, algorithms, and distributed systems design.

- Solid grasp of LLMs, Generative AI, and RAG methodologies.

- Excellent collaboration skills and a track record of delivering results in cross-functional teams.

Preferred (Nice to Have)

- Experience integrating AI into web applications built on Ruby on Rails and React.

- Familiarity with vector databases and embeddings (e.g., Pinecone, FAISS, Weaviate).

- Exposure to MLOps tools and best practices (e.g., SageMaker, MLflow, CI/CD, model monitoring).

- Interest in real estate or property technology (PropTech) applications.

📌 LATAM_Artificial Intelligence Engineer (Colombia)
🏢 SQDM
📍 Colombia