Adree
Computer Software
PrincipalSoftwareEngineer(AI-R&D)
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal Software Engineer (AI - R&D) at Adree. Skills: . NET, AI/ML concepts and tools, prototyping mindset. Own the R&D backlog (AI experiments, architecture spikes, technology validation). Research, prototype, and evaluate AI models, frameworks, tools, and platforms”
What You'll Achieve.
Define where AI adds real value and build measurable AI POCs; Produce data-driven technical recommendations for leadership
Industry & Context.
Translate ambiguous ideas into feasible technical approaches, risks, and trade-offs
What They're Looking For.
Must Have
software engineering background with . NET (mandatory)
Nice to Have
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
What You'll Do.
Own the R&D backlog (AI experiments
technology validation)
and evaluate AI models
Translate ambiguous ideas into feasible technical approaches
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
Build internal platforms
Scout and evaluate vendors
and tools through comparison POCs
Produce data-driven technical recommendations for leadership
How You'll Work.
Team & Collaboration
Ability to work across R&D, architecture, and pre-sales functions
Process & Methodology
Own the R&D backlog
Full 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. **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. * Suppo
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