Senior AI Engineer – ML, Data

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Conceptualize, construct, and launch AI agents from inception to production.

• Release early and refine based on user feedback.

• Collaborate with product, support, and engineering teams to transform vaguely defined challenges into precise requirements.

• Develop agents and AI functionalities utilizing the client’s Databricks data.

• Take responsibility for deployed systems in production, encompassing monitoring, evaluation, cost management, and error resolution.

• Introduce and disseminate best practices in agentic engineering.

• Employ coding agents to outline tasks, assess generated outputs, and make critical decisions.

• Decompose tasks into verifiable segments and operate multiple agents concurrently.

• Implement tests, continuous integration, and agent reviews to uphold quality standards.

• Enhance the development environment following setbacks and document effective strategies as reusable team capabilities.

⛳️ Requirements

• Background in machine learning or AI engineering.

• Proven experience in deploying agents and AI features to production for end users.

• Practical experience with Databricks, including the development and management of batch and streaming pipelines.

• Familiarity with cloud services, specifically Azure or AWS.

• Utilization of evaluations and data to assess agent readiness and measure real-time success.

• Proficient in Python, with experience in building applications using LLM APIs and MCP.

• Knowledge of agent frameworks or SDKs, and the discernment of when not to utilize them.

• Currently utilize coding agents as the primary method for software development.

• Capability to work autonomously, gather requirements from non-engineering stakeholders, and deliver precise solutions.

• Advanced proficiency in English, both written and spoken.

• Must be located remotely in LATAM with availability from 9am to 5pm US Eastern Time.

• Preferred qualifications include: CI/CD, Terraform, monitoring, complex document processing with LLMs (OCR, extraction), MLOps tools such as MLflow, and a background in logistics, transportation, or compliance.

🏝️ Benefits

• Monthly USD Service Fee.

• 20 business days of paid Agreed Time Off annually, plus 6 local holidays.

• Caregiver Time Off.

• A vibrant remote work culture, allowing you to work from any location.

• An entrepreneurial work environment.