DaCodes.

AI Engineer – AI Systems, Automation

DaCodes.

full-time

Posted on:

Location Type: Remote

Location: Mexico

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformJavaScriptNode.jsPythonReact

About the role

  • Work at DaCodes as a high-impact software and digital transformation firm.
  • Collaborate on projects with clients across LATAM and the United States, delivering outstanding results.
  • Accelerate professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud infrastructures.
  • Participate in building **AI-powered features and automations** such as chatbots, copilots, retrieval-augmented generation (RAG) systems, intelligent agents, and workflow automations.
  • Validate ideas through fast POCs or prototypes, evolving those solutions into reliable, scalable production systems.
  • Take ownership of outcomes and translate clear problem statements into high-quality AI solutions with minimal guidance.

Requirements

  • Design and build **AI-powered solutions** ranging from quick prototypes and POCs to **production-ready systems**.
  • Develop chatbots, copilots, RAG systems, agents, and AI-driven automations.
  • Build and iterate on AI-based workflows using tools such as **n8n** or similar platforms.
  • Decide when to prototype quickly and when to invest in production-grade architecture.
  • Apply **prompt engineering** practices suitable for both experimentation and long-term maintenance.
  • Integrate AI capabilities into existing systems, APIs, and workflows.
  • Evaluate and mitigate model limitations such as hallucinations, latency, cost, and context constraints.
  • Contribute to the transition of validated AI solutions into production environments.
  • Collaborate closely with product, backend, frontend, and automation-focused teams.
  • Document technical decisions, tradeoffs, and learnings throughout the solution lifecycle.
  • Mid to Senior experience as an AI Engineer, Machine Learning Engineer, or Software Engineer with strong AI exposure.
  • Experience delivering AI solutions beyond experimentation, including production or near-production systems.
  • Strong understanding of **large language models (LLMs)** and their real-world behavior.
  • Solid programming skills in **Python, Node.js, or similar backend languages**.
  • Experience building and integrating AI systems into existing architectures.
  • Familiarity with APIs, asynchronous workflows, and event-driven systems.
  • Experience implementing **RAG pipelines**, embeddings, and retrieval strategies.
  • Ability to build light frontend interfaces or demos using **React.js** when needed.
  • Practical understanding of machine learning concepts relevant to applied AI.
  • Experience working with structured and unstructured data.
  • Strong judgment to decide when an LLM-based approach or a simpler solution is more appropriate.
  • Experience deploying AI services or prototypes in **AWS, Azure, or GCP**.
  • Familiarity with containerization and cloud-native tooling.
  • Awareness of security, credential management, and access control for AI services.
  • Understanding of scalability, observability, and cost considerations for AI workloads.
  • Strong ownership and accountability.
  • Comfortable balancing speed and quality.
  • Fast learner who captures intent quickly.
  • Proactive problem solver focused on delivery.
  • Clear communicator of technical decisions and tradeoffs.
  • **English:** Advanced conversational level is highly desirable; intermediate level is acceptable and not a blocker.
  • **Location:** LATAM.
  • **Work Mode:** Remote.
  • **Industry:** AI-first, technology-driven company.
  • Nice to Have: Experience with vector databases such as **Pinecone, Qdrant, or similar**. Experience taking prototypes or POCs into production. Exposure to open-source LLMs or self-hosted models. Experience building internal platforms or reusable AI components.
Benefits
  • 🚀 Integration with global brands and disruptive startups.
  • 🏡 Remote work / Home office.
  • 📍 If a hybrid or on-site model is required, you will be informed from the first interview.
  • ⏳ Schedule aligned with the assigned project or delivery team.
  • 📅 Monday to Friday work schedule.
  • 🎉 Day off on your birthday.
  • 🏥 Major medical expenses insurance (applies to Mexico).
  • 🛡️ Life insurance (applies to Mexico).
  • 🌎 Multicultural work teams.
  • 🎓 Access to courses and certifications.
  • 📢 Meetups with special guests from the IT industry.
  • 📡 Virtual integration events and interest groups.
  • 📢 English classes.
  • 🏆 Opportunities across our different business units.
  • 🏅 Proudly certified as a Great Place to Work.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI-powered solutionschatbotscopilotsretrieval-augmented generation (RAG) systemsprompt engineeringPythonNode.jsReact.jsmachine learning conceptsRAG pipelines
Soft Skills
strong ownershipaccountabilityproactive problem solverclear communicatorfast learnerstrong judgmentability to balance speed and qualitycollaborationdocumentationdecision making