AI Engineer

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, delivering 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 play a key role in the success of our business and our clients’ success. You will be the expert participating in our projects and will have access to disruptive startups and global brands. Interested? We are looking for a Mid–Senior AI Engineer who can move seamlessly from rapid experimentation and prototyping to production-ready AI solutions when needed.

This role focuses on building AI-powered features and automations such as chatbots, copilots, retrieval-augmented generation (RAG) systems, intelligent agents, and workflow automations. You will often start by validating ideas through fast POCs or prototypes, and in many cases, evolve those solutions into reliable, scalable production systems , either independently or in collaboration with other engineering teams. The ideal candidate understands when speed matters and when robustness matters, takes ownership of outcomes, and can translate clear problem statements into high-quality AI solutions with minimal guidance.

REQUIREMENTS

Key Responsibilities and Functions 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. Desired Profile Experience Level & Seniority 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. Technical Skills 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. AI, ML, and Data 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. Cloud and Infrastructure 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. Soft Skills 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. Additional Requirements 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.