Senior AI Engineer (Backend & AI Systems)

Job Description: Senior AI Engineer (Backend & AI Systems)

Locations:

Prague, Czechia (Hybrid/Remote options available)

Position: Full-time

Reports to:  Systems Engineering, Manager

About the Project:

We are a small, highly focused team building a sophisticated, modular AI platform designed to automate and reason through complex business and technical challenges. Our vision is to create a powerful assistant that is both intelligent and extensible.

Our development philosophy is centered on a clean, service-oriented architecture. We are building a system where a central AI orchestrator communicates with a growing ecosystem of specialized tools via a robust gRPC-based fabric. We leverage a modern data stack (PostgreSQL and Vector Databases) and integrate powerful Large Language Models (like NVIDIA NIM and open-source alternatives) to form the system's core intelligence. This is a ground-floor opportunity to join as a foundational engineering partner and help shape the future of this ambitious platform.

Our Development Philosophy: AI-Augmented Engineering ("Vibe Coding")

Our development process is uniquely modern. We build in a close partnership with a sophisticated AI assistant in a workflow we call "Vibe Coding".

This elevates the role of the engineer. Instead of spending most of your time on manual, line-by-line coding, you will focus on:

• Architectural Guidance: Directing the AI with high-level goals, architectural patterns, and the "vibe" of what needs to be built.
• Expert Review & Integration: Critically reviewing AI-generated code for correctness, efficiency, and adherence to our standards, then weaving it into the broader system.
• Rapid Iteration: Leveraging AI to prototype, build, and refactor complex components at a speed impossible with traditional methods.

The core skill set shifts from being a writer of code to a director of code. If you are excited by the idea of being a force-multiplier who guides AI to build software, you will thrive here.

What You'll Do:

As a key member of our founding team, you will play a critical role in developing the core backend and AI capabilities of our platform. Your work will be varied and fundamental to our success:

• Build the Backend Fabric: Guide the AI-augmented development of high-performance, modular Python services that form the backbone of our ecosystem.
• Architect API-Driven Communication: Implement and evolve the gRPC-based APIs that enable seamless, efficient communication between the orchestrator and its various tools.
• Orchestrate AI & LLMs: Integrate and harness Large Language Models to drive complex workflows, tool selection, and advanced reasoning capabilities.
• Develop Scalable Data Strategies: Architect and manage our data persistence layer, combining the strengths of relational (PostgreSQL) and vector (ChromaDB) databases.
• Create Robust Data Pipelines: Build and optimize the data ingestion and processing pipelines that continuously enrich our AI's knowledge base.
• Collaborate on Core Architecture: Work directly with the Lead Architect to solve challenging technical problems, make key design decisions, and guide the platform's technical direction.

Who You Are (Qualifications):

We're looking for a talented and versatile backend engineer who is passionate about building well-architected systems and is excited by the creative possibilities of modern, AI-driven development.

Required Skills & Experience:

• 5+ years of professional experience building complex, scalable backend systems.
• Expert-level Python proficiency, with a deep understanding of object-oriented design, concurrency, and best practices.
• Strong, demonstrable experience designing and building APIs (gRPC is a significant advantage; extensive REST/FastAPI experience is also highly valued).
• Solid experience with PostgreSQL (or similar relational databases) and proficiency with an ORM like SQLAlchemy.
• Practical understanding of Vector Databases (e.g., ChromaDB, Milvus) and their role in AI applications like RAG.
• Hands-on mastery of Docker for building, shipping, and running applications.
• Experience integrating with third-party LLM APIs and a solid grasp of concepts like tool calling and prompt engineering.
• A forward-thinking mindset with a demonstrable ability to understand, revie