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.

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.