Senior Product Engineer

Leadtech Group builds and scales digital products used by millions of people worldwide. With over 18 years of experience, we bring together multidisciplinary teams to turn ideas into meaningful, high-impact solutions.

Within the group, MAU by Leadtech focuses on subscription-based apps and digital products. It builds on the expertise, technology and product mindset developed at Leadtech, combining proven experience with a strong focus on user value and long-term growth.

Across both brands, we share the same approach: a deep commitment to understanding people and creating experiences that make a difference — for our users and for our teams.

We work as a remote-first, international team, where flexibility and collaboration shape how we build, learn and move forward together. Our environment brings together experienced professionals across product, tech, data and design, all driven by curiosity, ownership and continuous improvement.

If you’re looking to contribute to products with real impact and grow alongside a team that values how things are built as much as what is built, we’d love to meet you.

Leadtech Group builds and scales digital products used by millions of people worldwide. With over 18 years of experience, we bring together multidisciplinary teams to turn ideas into meaningful, high-impact solutions.Within the group,&nbsp...

As part of the AI-LAB team of MAU, as a Senior Product Engineer, you will be instrumental in building a multiplatform AI-powered document system serving hundreds of thousands of users every month. We need a Product Engineer who ships end-to-end: someone who thinks like a product owner, codes like a craftsperson, and reaches for AI-native tooling by default.

• Build and maintain the core multiplatform systems. You’ll own features end-to-end, from idea to production, React frontends, Node.js/Express backends, and PostgreSQL, Databricks integration & data layers.
• Ship to learn. Proactively instrument features, measure impact, seek user feedback, and iterate or kill based on what you discover. You treat metrics as a compass, not a report card.
• Design and orchestrate agentic AI workflows using modern frameworks (LangGraph, Claude Agent SDK, MCP protocols) and integrate LLMs into product features via prompt chains, tool calling, and function execution.
• Collaborate with engineers, designers, and leadership to shape the product roadmap. You’ll have a real voice in what gets built and why.
• Build, maintain, and extend automation pipelines and connect them with AI agents, external APIs, webhooks, and cloud services on GCP.
• Contribute to database schema design (PostgreSQL, BigQuery), build and maintain RESTful APIs, and help manage our cloud infrastructure on Google Cloud Platform.
  

What You Will Bring

• Python fluency, you can quickly build and utilise a wide range of libraries when the task calls for it.
• 2–5 years of full-stack experience in a high-output team. You know how to balance speed with quality and when to choose one over the other.
• Deep TypeScript & React proficiency on the frontend (Hooks, Context API, Vite, Shadcn UI) and backend (Node.js, Express, REST APIs, PostgreSQL).
• You have taste. You can distinguish between good and bad UX, and you can share examples to demonstrate it.
• You’re AI-native. You reach for agents by default, understand MCP and agentic orchestration patterns, and have built guardrails to trust them more and more. Python proficiency for rapid prototyping is a must.
• You’re self-driven and business-aware. You care about solving real problems and moving the needle on metrics, not just shipping features. Give you context, and you’ll find the leverage.
  

Bonus Points

• Previous hands-on experience with LLMs in production, prompt tuning, RAG pipelines, vector databases (Pinecone, Weaviate), or agentic frameworks (LangGraph, CrewAI).
• Familiarity with LLM observability tools (Langfuse, LangSmith) and cloud platforms (GCP).
• A genuine passion for AI and a habit of staying on the frontier: new models, protocols (MCP, A2A), and developer tooling.

Leadtech Group builds and scales digital products used by millions of people worldwide. With over 18 years of experience, we bring together multidisciplinary teams to turn ideas into meaningful, high-impact solutions.

Within the group, MAU by Leadtech focuses on subscription-based apps and digital products. It builds on the expertise, technology and product mindset developed at Leadtech, combining proven experience with a strong focus on user value and long-term growth.

Across both brands, we share the same approach: a deep commitment to understanding people and creating experiences that make a difference — for our users and for our teams.

We work as a remote-first, international team, where flexibility and collaboration shape how we build, learn and move forward together. Our environment brings together experienced professionals across product, tech, data and design, all driven by curiosity, ownership and continuous improvement.

If you’re looking to contribute to products with real impact and grow alongside a team that values how things are built as much as what is built, we’d love to meet you.

Leadtech Group builds and scales digital products used by millions of people worldwide. With over 18 years of experience, we bring together multidisciplinary teams to turn ideas into meaningful, high-impact solutions.Within the group,&nbsp...

As part of the AI-LAB team of MAU, as a Senior Product Engineer, you will be instrumental in building a multiplatform AI-powered document system serving hundreds of thousands of users every month. We need a Product Engineer who ships end-to-end: someone who thinks like a product owner, codes like a craftsperson, and reaches for AI-native tooling by default.

• Build and maintain the core multiplatform systems. You’ll own features end-to-end, from idea to production, React frontends, Node.js/Express backends, and PostgreSQL, Databricks integration & data layers.
• Ship to learn. Proactively instrument features, measure impact, seek user feedback, and iterate or kill based on what you discover. You treat metrics as a compass, not a report card.
• Design and orchestrate agentic AI workflows using modern frameworks (LangGraph, Claude Agent SDK, MCP protocols) and integrate LLMs into product features via prompt chains, tool calling, and function execution.
• Collaborate with engineers, designers, and leadership to shape the product roadmap. You’ll have a real voice in what gets built and why.
• Build, maintain, and extend automation pipelines and connect them with AI agents, external APIs, webhooks, and cloud services on GCP.
• Contribute to database schema design (PostgreSQL, BigQuery), build and maintain RESTful APIs, and help manage our cloud infrastructure on Google Cloud Platform.
  

What You Will Bring

• Python fluency, you can quickly build and utilise a wide range of libraries when the task calls for it.
• 2–5 years of full-stack experience in a high-output team. You know how to balance speed with quality and when to choose one over the other.
• Deep TypeScript & React proficiency on the frontend (Hooks, Context API, Vite, Shadcn UI) and backend (Node.js, Express, REST APIs, PostgreSQL).
• You have taste. You can distinguish between good and bad UX, and you can share examples to demonstrate it.
• You’re AI-native. You reach for agents by default, understand MCP and agentic orchestration patterns, and have built guardrails to trust them more and more. Python proficiency for rapid prototyping is a must.
• You’re self-driven and business-aware. You care about solving real problems and moving the needle on metrics, not just shipping features. Give you context, and you’ll find the leverage.
  

Bonus Points

• Previous hands-on experience with LLMs in production, prompt tuning, RAG pipelines, vector databases (Pinecone, Weaviate), or agentic frameworks (LangGraph, CrewAI).
• Familiarity with LLM observability tools (Langfuse, LangSmith) and cloud platforms (GCP).
• A genuine passion for AI and a habit of staying on the frontier: new models, protocols (MCP, A2A), and developer tooling.