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Senior AI Engineer (Backend & AI Systems)

GTT

España

Híbrido

EUR 102.000 - 128.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A cutting-edge technology firm is seeking a Senior AI Engineer to guide the development of sophisticated backend services. The ideal candidate will have over 5 years of experience in backend development, expert-level proficiency in Python, and solid skills in API design. Join a focused team at the forefront of AI technology, where you will leverage modern development processes and work in a flexible environment.

Servicios

Flexible work environment
Ground-floor impact on AI projects
High degree of autonomy

Formación

  • 5+ years of professional experience building complex, scalable backend systems.
  • Expert-level Python proficiency with a deep understanding of object-oriented design.
  • Strong experience designing and building APIs, particularly gRPC.

Responsabilidades

  • Build high-performance, modular Python services as backend fabric.
  • Implement gRPC-based APIs for seamless communication.
  • Integrate Large Language Models for advanced reasoning.

Conocimientos

Python proficiency
API design and building
Experience with PostgreSQL
Vector Databases knowledge
Docker mastery
Integrating third-party LLM APIs
Understanding complex codebases

Herramientas

SQLAlchemy
gRPC
Docker
Descripción del empleo
Overview

Job Description: SeniorAIEngineer (Backend & AISystems)

Locations:

Prague, Czechia (Hybrid/Remote options available)

Austin, Texas US (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, modularAIplatform 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 centralAIorchestrator 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 sophisticatedAIassistant 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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