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 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.
