
51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
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.
🕒 June 5
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
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: 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
• 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
• 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 • Modern, multi-cloud stack: C#/.NET, Vue.js/TypeScript, MongoDB + SQL, Azure + AWS • Real influence over architecture, technical standards, and engineering culture beyond your immediate team • AI-assisted development as a first-class practice — Claude Code, Cursor, Copilot — with the autonomy to exercise real engineering judgment • A high-bar technical environment where your architectural decisions impact multiple teams and products • A flexible hybrid/remote setup with a world-class team
Apply Now🕒 June 4
Mid-Level .NET C# Developer building robust APIs using OData and Entity Framework for a global tech service provider. Collaborating with cross-functional teams to deliver high-quality software solutions.
Entity Framework
Postgres
SQL
Subversion
.NET
🕒 June 4
Tech Lead responsible for defining technical direction and mentoring engineers at Skydropx. Innovating logistics solutions through a diverse and ambitious team environment.
🗣️🇪🇸 Spanish Required
AWS
Azure
Cloud
Google Cloud Platform
JavaScript
Kafka
Kubernetes
Next.js
Node.js
React
Ruby
Ruby on Rails
🕒 June 2
Backend Developer Sr designing scalable backend solutions at Nubimetrics. Collaborating with cross-functional teams in a remote setting.
🗣️🇪🇸 Spanish Required
Azure
Cloud
NoSQL
SQL
.NET
🕒 June 1
Backend Developer developing scalable backend solutions using .NET for Nubimetrics. Collaborating with cross-functional teams to ensure seamless integration and high performance in cloud environments.
🗣️🇪🇸 Spanish Required
Azure
Cloud
NoSQL
SQL
.NET
🕒 May 28
Full Stack Developer specializing in Java, React, and AWS for Zarego. Collaborate with teams to create scalable applications while ensuring code quality and timeliness.
AWS
Docker
Java
React
Spring
Spring Boot
SpringBoot
TypeScript