
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.
🔥 16 hours ago
🌐 Argentina, Colombia, +6 more countries – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 10%
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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.
• Set architectural direction for products emerging from Labs from prototype to production • Design and build production-grade agentic workflows, including retrieval, tool use, multi-step planning, human-in-the-loop checkpoints, and safety guardrails • Provide senior technical guidance for architectural decisions spanning multiple teams • Establish technical standards and engineering practices 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 influence engineering culture • Ensure performance, quality, and responsiveness of customer-facing applications and agentic systems • Implement and maintain automated testing practices, including evaluations for AI components • Contribute to modernization and consolidation of legacy integration surfaces
• 8+ years of professional software development experience • 3+ years in senior, lead, or principal roles • Deep code fluency in mainstream programming languages • Strong working command of Azure and AWS • Knowledge of container orchestration, serverless, messaging, identity, and managed data stores • Kubernetes production experience • Strong command of SQL and NoSQL systems • Production experience shipping LLM-powered features • Experience with retrieval, embeddings, tool calling, structured outputs, and cost/latency tradeoffs • Experience designing end-to-end agentic workflows • Experience leading architectural initiatives across teams • Strong technical leadership and mentoring experience • Knowledge of SOLID, DRY, KISS, YAGNI, and TDD • Familiarity with C#/.NET, Node.js/TypeScript, and Vue.js • Advanced English • Working familiarity with MCP, agent frameworks, and evaluation frameworks is a plus • Experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock, or SageMaker is a plus • Experience with Autodesk products and APIs is a plus • Construction, MEP, or manufacturing domain knowledge is a plus • Experience with large-scale migrations or architectural transformations is a plus • Familiarity with modern serverless technologies is a plus • Understanding of event-driven architectures and message-based integration is a plus
• AI-assisted development using Claude Code, Cursor, and Copilot • Autonomy to exercise real engineering judgment • Influence over architecture, technical standards, and engineering culture • High-bar technical environment with broad architectural impact
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