Qureos

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Principal Software Engineer (AI - R&D)

Key Responsibilities

  • Own the R&D backlog (AI experiments, architecture spikes, technology validation)
  • Research, prototype, and evaluate AI models, frameworks, tools, and platforms
  • Translate ambiguous ideas into feasible technical approaches, risks, and trade-offs
  • Design and build customer-facing POCs and reusable demo frameworks
  • Support pre-sales with technical deep dives and feasibility validation
  • Define where AI adds real value and build measurable AI POCs
  • Maintain an internal AI knowledge base (models tested, results, lessons learned)
  • Build internal platforms, SDKs, accelerators, and automation tools
  • Scout and evaluate vendors, platforms, and tools through comparison POCs
  • Produce data-driven technical recommendations for leadership

Key Skills & Qualifications

  • Strong software engineering background with .NET (mandatory)
  • Experience with Python is a plus, especially in AI/ML contexts
  • Solid understanding or hands-on experience in AI/ML concepts and tools (preferred)
  • Familiarity with vibe coding tools and modern AI-assisted development approaches
  • Experience or exposure to low-code platforms is highly recommended
  • Proven ability to rapidly learn and adapt to new technologies and frameworks
  • Strong prototyping mindset with the ability to turn ideas into working solutions quickly
  • Ability to work across R&D, architecture, and pre-sales functions

We are looking for someone who is not only technically strong but also has a mindset of continuous experimentation and innovation, capable of pushing forward our AI and R&D initiatives.

Requirements

Key Skills & Qualifications

  • Strong software engineering background with .NET (mandatory)
  • Experience with Python is a plus, especially in AI/ML contexts
  • Solid understanding or hands-on experience in AI/ML concepts and tools (preferred)
  • Familiarity with vibe coding tools and modern AI-assisted development approaches
  • Experience or exposure to low-code platforms is highly recommended
  • Proven ability to rapidly learn and adapt to new technologies and frameworks
  • Strong prototyping mindset with the ability to turn ideas into working solutions quickly
  • Ability to work across R&D, architecture, and pre-sales functions

We are looking for someone who is not only technically strong but also has a mindset of continuous experimentation and innovation, capable of pushing forward our AI and R&D initiatives.

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