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Senior AI Engineer (Backend AI Systems)

GTT Communications Praha, A, CZ

Senior Full-time

*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, review, and integrate complex codebases, including those generated with AI assistance.

Bonus Points (Highly Desirable):

A strong aptitude for "Vibe Coding" is a significant advantage. We are looking for someone who is not just open to, but genuinely excited about, an AI-augmented development workflow.
Deep, hands-on experience designing and implementing a production gRPC ecosystem.
Experience building end-to-end Retrieval-Augmented Generation (RAG) systems.
Background in infrastructure automation, DevOps, or systems engineering.

What We Offer:

A Glimpse into the Future of Development: Work at the cutting edge of software engineering, using AI as a true development partner.
Ground-Floor Impact: Be a core part of a small, focused team with the ability to influence every aspect of a cutting-edge AI product.
High Degree of Autonomy: Take ownership of your work and contribute to a project where your ideas are valued and implemented.
Direct Collaboration: Work in a close-knit partnership with the project architect, ensuring rapid learning and a streamlined development process.
Flexible Work Environment: We offer flexibility in working hours and the option for remote work, valuing results over rigid schedules.

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