Senior AI Agent Engineer (Python) - LATAM - English Required
Location: Mexico, Argentina, Brazil, Colombia, Peru, Chile
Workplace: remote
Description
Work at DaCodes!
We are a firm of experts in high-impact software and digital transformation.
For 10 years, we have created 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, achieving outstanding results.
At DaCodes, you will have the opportunity to accelerate 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 that of our clients. You will be the expert participating in our projects and gain exposure to disruptive startups and global brands.
Interested?
We are looking for a Senior AI Engineer to build and ship autonomous AI agents in production for a large-scale SaaS platform managing rental operations, inventory, and financial workflows.
This is not a chatbot role. You will design production-grade agents that automate real business decisions such as revenue forecasting, asset utilization, depot balancing, and accounts receivable workflows.
You will work in an AI-first development environment where tools like Anthropic Claude and OpenAI generate a significant portion of the code. Engineers act as architects who design systems, validate AI-generated code, and ensure production reliability.
This is a high-ownership role within a small, fast-moving engineering team focused on building and shipping real systems.
Requirements
REQUIREMENTS
Main Responsibilities
- Design, build, and deploy autonomous AI agents in Python for production systems
- Translate business problems into reliable AI-driven decision systems
- Integrate machine learning models (scikit-learn) into backend workflows
- Build structured agent workflows interacting with internal APIs and distributed systems
- Work within an AI-assisted development workflow using Claude and OpenAI
- Validate and refine AI-generated code to ensure reliability and maintainability
Desired Profile
Must-Have Technical Experience
- Strong Python skills with real experience shipping systems to production
- Proven experience building and deploying AI agents or autonomous decision systems, not just experimental prototypes
- Experience integrating ML models into backend systems
- Knowledge of classical ML concepts
- Comfort working with scikit-learn models integrated into production systems is expected.
AI-Assisted Development
We operate with an AI-assisted SDLC, where Claude generates much of the code and engineers act as system architects.
Ideal candidates:
- Use LLMs as coding collaborators
- Are comfortable designing systems while AI assists with implementation
- Have experience reviewing, correcting, and productionizing AI-generated code
Soft Skills
- Strong ownership and architectural thinking
- Comfortable working in fast-moving engineering teams
- Strong problem-solving and debugging skills
- Product-oriented mindset focused on real business outcomes
Additional Requirements
- Advanced English (C1 or higher) required
- Must be comfortable working directly with U.S. clients in meetings and technical discussions
- Experience working with distributed teams
Benefits
π Integration with global brands and disruptive startups.
π‘ Remote work / Home office.
π If a hybrid or on-site modality is required, you will be informed from the first session.
β³ Schedule aligned with the assigned work cell/project.
π
Monday to Friday work schedule.
π Day off on your birthday.
π₯ Major medical expenses insurance (applies for Mexico).
π‘οΈ Life insurance (applies for Mexico).
π Multicultural work teams.
π Access to courses and certifications.
π’ Meetups with special guests from the IT field.
π‘ Virtual integration events and interest groups.
π’ English classes.
π Opportunities across our different business lines.
π
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