Senior AI Fullstack Developer

🕒 July 22

🌐 Argentina, Colombia, +6 more countries – Remote

🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇵🇪 Peru – Remote 🇺🇾 Uruguay – Remote 🇨🇱 Chile – Remote 🇪🇨 Ecuador – Remote 🇸🇻 El Salvador – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Marvik

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.

📋 Description

• Set architectural direction for products emerging from Labs, from prototype to production • Design and build production-grade agentic workflows: retrieval, tool use, multi-step planning, human-in-the-loop checkpoints, and safety guardrails • Be the senior technical voice in architectural decisions that span multiple teams • Establish technical standards and engineering practices that extend across the organization • Make significant individual contributions to the SaaS product across Azure and AWS • Collaborate with product, design, and engineering across the full SDLC • Mentor and guide engineers and actively influence engineering culture • Ensure performance, quality, and responsiveness of customer-facing applications and the agentic systems built on top of them • Implement and maintain modern automated testing practices, including evals for AI components • Contribute to modernization and consolidation of legacy surfaces as integration touch points emerge

🎯 Requirements

• 8+ years of professional software development experience, with 3+ years in senior, lead, or principal roles • Deep code fluency: ability to pick up an unfamiliar codebase in any mainstream language and form a defensible opinion in days, not weeks, language is a tool, not an identity • Strong working command of both Azure and AWS and the tradeoffs across container orchestration, serverless, messaging, identity, and managed data stores • Kubernetes in production • Solid command of both SQL and NoSQL systems • Demonstrable AI engineering chops: has shipped LLM-powered features to production; comfortable with retrieval, embeddings, tool calling, structured outputs, and cost/latency tradeoffs • Has designed agentic workflows end-to-end: planning, tool use, evaluation, failure-mode analysis, human-in-the-loop; can articulate when an agent is the right answer and when a deterministic pipeline is • Proven track record of leading architectural initiatives and influencing decisions across teams • Strong technical leadership and mentoring experience • Solid grasp of SOLID, DRY, KISS, YAGNI, and TDD; applies them when warranted • Comfortable ramping into the current stack: C#/.NET backend, Node.js/TypeScript and Vue.js frontend, and into whatever Labs ships next • Advanced English

🏖️ Benefits

• A central role in the team that defines the next products, not just maintains the existing ones • End-to-end ownership of the agentic AI layer on top of what Labs ships • AI-assisted development as a first-class practice — Claude Code, Cursor, Copilot — with the autonomy to exercise real engineering judgment • Modern, multi-cloud stack: MongoDB + SQL, Azure + AWS • Real influence over architecture, technical standards, and engineering culture beyond your immediate team • A high-bar technical environment where your architectural decisions impact multiple teams and products