Senior AI Agent Engineer (Python, ML Systems)
D
DaCodesSoftware, Digital Transformation
Mexico. Colombia. Argentina. Chile. Brazil. UruguayFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- AWSPythonMachine LearningRESTful APIsscikit-learn
Requirements
- Senior-level engineer with proven production delivery
- Experience working in small, fast-moving teams
- Comfortable operating without heavy process or ticket-level supervision
- Demonstrated history of shipping systems end-to-end
- Strong Python with real production experience
- Proven experience shipping AI agents or autonomous decision systems to production
- Solid understanding of classical ML concepts (Gradient Boosted Trees, Structured and tabular data modeling, Feature engineering fundamentals)
- Experience integrating ML models into backend systems
- Experience designing systems that interact with APIs and distributed services
- Familiarity with AWS infrastructure
- Experience working with LLM APIs such as Anthropic Claude and OpenAI
- Strong system design, debugging, and architectural reasoning skills
- Comfortable working within an existing AI-driven development workflow
- Experience using LLMs as coding collaborators in production environments
- Strong judgment when validating, correcting, and refining AI-generated code
- Ability to architect complex systems while leveraging AI acceleration
- Comfortable with live coding and real-time technical discussions
- High autonomy and ownership mindset
- Strong architectural thinking
- Clear and fluent English communication
- Comfortable working in video-on collaboration environments
- Strong real-time reasoning and problem-solving ability
- Outcome-driven and product-oriented mindset
Responsibilities
- Design, architect, and ship autonomous AI agents embedded within a large-scale rental and inventory management platform
- Build production-grade agents that execute autonomous business logic across operational, financial, and logistics workflows
- Automatically list equipment for sale based on ML-driven utilization and revenue signals
- Forecast revenue and demand patterns
- Optimize depot balancing decisions
- Automate accounts receivable and billing workflows
- Wrap scikit-learn models and integrate with internal APIs
- Operate reliably under real production constraints
- Architect, develop, and ship autonomous AI agents in Python for production environments
- Translate business goals into reliable, executable AI systems
- Integrate classical ML models, especially those built with scikit-learn, into backend decision pipelines
- Design structured, deterministic agent workflows interacting with internal APIs
- Ensure observability, reliability, and measurable business outcomes
- Operate independently in a fast-paced environment with high ownership
- Work within an AI-assisted development workflow using Claude and OpenAI
- Perform live debugging, system validation, and production iteration
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