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30 days ago
Requirements and responsibilities
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.We are looking for 3 Senior AI Engineers with real experience building and shipping autonomous agents to production using Python.You will join a fast-moving, highly technical small team that is embedding AI agents into a rental management SaaS platform. These are not chatbots. These are autonomous business logic agents responsible for capabilities such as:Automatically listing equipment for sale based on ML modelsRevenue forecastingDepot balancingAccounts receivable automationWrapping classical ML models and orchestrating internal APIsThis is a product-driven environment. We are specifically looking for engineers who have shipped real agents to production, not just experimental prototypes.You will work within a proprietary AI SDLC where Anthropic Claude generates a significant portion of the code and the developer acts as the architect and system designer. It is critical that you are comfortable building agents and using AI to build them. You must be able to operate inside an established AI-first development workflow rather than importing your own stack or frameworks.About the RoleWe are looking for a Senior AI Agent Engineer to design, architect, and ship autonomous AI agents embedded within a large-scale rental and inventory management platform.This is not a chatbot role.You will build production-grade agents that execute autonomous business logic across operational, financial, and logistics workflows. These agents directly impact revenue optimization, asset utilization, financial automation, and operational efficiency.The platform manages:Multi-location inventory and rental assetsContracts, billing, and financial operationsDepot balancing and asset allocationAccounts receivable workflowsE-commerce storefronts and customer portalsAPI-driven integrations across internal systemsYour agents will:Automatically list equipment for sale based on ML-driven utilization and revenue signalsForecast revenue and demand patternsOptimize depot balancing decisionsAutomate accounts receivable and billing workflowsWrap scikit-learn models and integrate with internal APIsOperate reliably under real production constraintsThis is a senior, high-ownership role. There is no PM assigning granular tickets. You will receive feature-level goals and are expected to architect, build, and ship end-to-end production systems.We operate under an AI-assisted SDLC. Anthropic Claude and OpenAI models are deeply integrated into our development workflow. Developers act as architects who validate, refine, and productionize AI-generated code while ensuring system reliability and maintainability.We are building a small, fast-moving team. We need builders who ship.RequirementsMain ResponsibilitiesArchitect, develop, and ship autonomous AI agents in Python for production environmentsTranslate business goals into reliable, executable AI systemsIntegrate classical ML models, especially those built with scikit-learn, into backend decision pipelinesDesign structured, deterministic agent workflows interacting with internal APIsEnsure observability, reliability, and measurable business outcomesOperate independently in a fast-paced environment with high ownershipWork within an AI-assisted development workflow using Claude and OpenAIPerform live debugging, system validation, and production iterationDesired ProfileExperience LevelSenior-level engineer with proven production deliveryExperience working in small, fast-moving teamsComfortable operating without heavy process or ticket-level supervisionDemonstrated history of shipping systems end-to-endTechnical SkillsStrong Python with real production experienceProven experience shipping AI agents or autonomous decision systems to production, not prototypes onlySolid understanding of classical ML concepts, including:Gradient Boosted TreesStructured and tabular data modelingFeature engineering fundamentalsExperience integrating ML models into backend systemsExperience designing systems that interact with APIs and distributed servicesFamiliarity with AWS infrastructureExperience working with LLM APIs such as Anthropic Claude and OpenAIStrong system design, debugging, and architectural reasoning skillsComfortable working within an existing AI-driven development workflow rather than importing personal frameworksAI-Assisted DevelopmentExperience using LLMs as coding collaborators in production environmentsStrong judgment when validating, correcting, and refining AI-generated codeAbility to architect complex systems while leveraging AI accelerationComfortable with live coding and real-time technical discussionsSoft SkillsHigh autonomy and ownership mindsetStrong architectural thinkingClear and fluent English communicationComfortable working in video-on collaboration environmentsStrong real-time reasoning and problem-solving abilityOutcome-driven and product-oriented mindsetBenefits🚀 Integration with global brands and disruptive startups.🏡 Remote work / Home office.📍 If a hybrid or on-site modality is required, you will be informed from the first session.⏳ Schedule aligned with the assigned work cell/project.📅 Monday to Friday work schedule.🎉 Day off on your birthday.🏥 Major medical expenses insurance (applies for Mexico).🛡️ Life insurance (applies for Mexico).🌎 Multicultural work teams.🎓 Access to courses and certifications.📢 Meetups with special guests from the IT field.📡 Virtual integration events and interest groups.📢 English classes.🏆 Opportunities across our different business lines.🏅 Proudly certified as a Great Place to Work.
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