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DaCodes.

Coding the world of tomorrow

Senior AI Agent Engineer - C1+ ENGLISH REQUIRED - LATAM

AI EngineerMachine Learning EngineerOtherRemoteSeniorTeam 201-500Since 2014H1B No SponsorCompany SiteLinkedIn

Location

Mexico

Posted

59 days ago

Salary

0

Seniority

Senior

Job Description

Senior AI Agent Engineer - C1+ ENGLISH REQUIRED - LATAM

DaCodes.

Work at DaCodes! We are a high-impact software and digital transformation firm. For over 10 years, we have built technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, consistently delivering outstanding results. At DaCodes, you will have the opportunity to boost your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud infrastructures. Our DaCoders have a significant impact on the success of our business and our clients. You will be the expert participating in our projects, gaining exposure to disruptive startups and global brands. Interested?

Job Requirements

  • We are looking for Senior AI Engineers with advanced english communication skills with proven experience building and shipping autonomous AI agents to production.
  • You will join a highly technical, fast-moving team working on a rental and inventory management SaaS platform where AI agents execute real business logic.
  • This is not a chatbot role.
  • About the Role
  • You will design, architect, and deploy production-grade autonomous agents that directly impact:
  • Revenue optimization
  • Demand forecasting
  • Operational efficiency
  • Financial automation
  • These agents interact with real systems, APIs, and data pipelines, operating under real production constraints.
  • Key Responsibilities
  • Design, build, and ship autonomous AI agents in Python for production environments
  • Translate business problems into reliable, executable AI systems
  • Integrate classical ML models (e.g., scikit-learn) into backend decision pipelines
  • Orchestrate internal APIs and structured agent workflows
  • Ensure system reliability, observability, and measurable business impact
  • Work independently with high ownership in a fast-paced environment
  • Operate within an AI-assisted development workflow using tools like Claude and OpenAI
  • Validate, refine, and productionize AI-generated code
  • Core Requirements (Critical)
  • Strong Python + Production Experience
  • Proven experience building and shipping AI agents or autonomous systems to production
  • Experience beyond prototypes or experimentation is required
  • Solid Understanding of Classical Machine Learning
  • Familiarity with:
  • Gradient Boosted Trees
  • Structured/tabular data modeling
  • Basic feature engineering
  • Ability to integrate ML models into real backend systems
  • AI-Assisted Development Experience
  • Experience using LLMs (e.g., Claude, OpenAI) as coding collaborators
  • Comfortable working in an environment where:
  • AI generates a significant portion of the code
  • The engineer acts as architect and system designer
  • Strong judgment when validating and refining AI-generated code
  • Desired Profile
  • Senior-level engineer with proven end-to-end delivery
  • Experience in small, fast-moving, product-driven teams
  • High ownership and autonomy
  • English needs to be top notch, level C1 or superior
  • Strong system design and debugging skills
  • Experience working with APIs and distributed systems
  • Familiarity with AWS or similar cloud environments
  • Strong communication skills and advanced English proficiency
  • Comfortable with real-time collaboration and technical discussions

Benefits

  • πŸš€ Integration with global brands and disruptive startups.
  • 🏑 Remote / Home office work model.
  • πŸ“ If hybrid or on-site presence is required, you will be informed in the first interview.
  • ⏳ Work schedule aligned to the assigned team or project.
  • πŸ“… Monday–Friday workweek.
  • πŸŽ‰ Day off on your birthday.
  • πŸ₯ Major Medical Expenses insurance (Mexico only).
  • πŸ›‘οΈ Life insurance (Mexico only).
  • 🌎 Multicultural, international project teams.
  • πŸŽ“ Access to courses and certifications.
  • πŸ“’ IT-focused meetups with external expert guests.
  • πŸ“‘ Virtual team-building events and interest groups.
  • πŸ“’ English classes.
  • πŸ† Opportunities across multiple business units.
  • πŸ… Proudly certified as a Great Place to Work.

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β€’ AI Infrastructure Orchestration: Design and maintain the infrastructure required to power AI features, including vector database management, model deployment pipelines, and secure integration with LLM providers. β€’ Platform Architecture: Build and evolve our Internal Platforms, focusing on self-service, automation, and reducing cognitive load for internal teams. β€’ Serverless & Event-Driven Systems: Optimize and secure our 100% cloud-native environment, developing and deploying scalable serverless and event-driven architectures (AWS Lambda, Google Cloud Functions, EventBridge, Pub/Sub). β€’ DevSecOps: Implement automated security guardrails within the CI/CD pipeline. You will lead the "Identity/IAM Architecture" to ensure least-privilege access and build automated compliance checks into our Infrastructure-as-Code (Terraform). β€’ AI Guardrails: Develop and enforce technical guardrails for our internal AI platform to manage data privacy, cost controls, and ethical usage monitoring. β€’ Reliability & Automation: Drive a "manual-is-a-bug" culture by automating environment provisioning, incident response, and performance monitoring.

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