
51 - 200 employees
Founded 2018
đ€ Artificial Intelligence
đ€ B2B
đą Enterprise
Artificial Intelligence âą B2B âą 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.
đ April 22
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51 - 200 employees
Founded 2018
đ€ Artificial Intelligence
đ€ B2B
đą Enterprise
Artificial Intelligence âą B2B âą 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.
âą Work hand-in-hand with leadership and cross-functional teammates to prioritize and execute on our product roadmap. âą Own the end-to-end development of new AI features, from rapid prototyping to full implementation in our core product. âą Deliver robust, scalable, and thoroughly tested code. âą Help define and establish best practices that lay the foundation for a high-performing engineering team and culture. âą Collaborate with Design and Operations teams to make Aleph better every day.
âą Experience in software engineering; AI Engineers with solid software engineering foundations are preferred. âą Strong understanding of LLMs, RAG systems, Agents, and Multi-Agent architectures. âą Experience with systems such as DeepResearch, Text2SQL, or Chat with Data (they are actively building new features). âą Tech stack: Python, Google ADK (nice to have), FastAPI, Tabular (nice to have), Ruff. âą Knowledge of AI agent frameworks. âą Testing experience using pytest. âą Experience with relational and non-relational databases (BigQuery, PostgreSQL, and PGVector, MongoDB). âą Strong data-handling skills: querying data warehouses, performing operations such as pivoting, drill up/down, etc. âą Experience designing scalable and resilient solutions (monoliths, microservices, micro-frontends). âą Strong Conversational English: Be prepared to communicate in English most of the day. âą Exceptional Clarity when explaining technical concepts (a must). âą Autonomy, Proactivity, and Strong Critical Thinking (startup environment mentality). âą Proven impact and ownership in previous projects. âą Good interpersonal skills and teamwork interests. âą Familiarity with Scrum or Agile methodologies.
âą Challenging projects: Focused on the incorporation of LLMs and GenAI in SaaS-like products within specialized domains. âą Growth opportunity: Opportunity to join a growing startup with multiple professional development opportunities. âą Real impact: Work on state-of-the-art solutions, directly influencing user experience and business outcomes. âą Excellent work environment: Full of highly motivated and talented young professionals. âą Flexibility: Opportunity to work on-site and remotely.
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