Job description
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.
This job post has been translated by AI and may contain minor differences or errors.
