AI Research Engineer - Platform Innovation

About Centric Software:

Centric Software stands at the forefront of innovation, delivering cutting-edge PLM solutions tailored specifically for the retail, fashion, footwear, luxury, and consumer goods industries. Our enterprise software applications are designed to meet the unique challenges of the fast-moving consumer goods market, empowering businesses to manage, optimize, and execute their critical processes with ease.

From concept to production, our software solutions streamline the journey of bringing products to life. We support our customers in effectively managing materials, sourcing, quality, and pricing, ensuring every step leads to a successful final catalog. With Centric Software, businesses can navigate the complexities of product development with confidence and agility.
 

Job Summary

The AI Research Engineer - Platform Innovation at Centric Software is a highly analytical and research-driven AI engineer who thrives at the intersection of theoretical AI research and practical system implementation. They are deeply passionate about type-safe architecture, embeddings, cognitive reasoning, and AI-driven collaboration. This individual has a strong foundation in type theory, modern AI architecture, and full-stack development, allowing them to drive enterprise-scale AI innovation.

As a bridge between research and engineering, this person is obsessed with system design and ensures that AI-driven collaboration platforms are highly efficient, scalable, and innovative. They have deep expertise in TypeScript, embeddings, cognitive AI, and real-time systems and are committed to pushing the boundaries of AI-powered development tools.

Mindset & Key Traits:

• Innovative Thinker – Passionate about type safety, embeddings, and AI-powered reasoning systems

• Highly Analytical – Strong problem-solving skills to translate AI research into scalable, production-ready systems

• Deeply Curious – Continuously exploring new AI paradigms, architectures, and cognitive models

• Systematic & Detail-Oriented – Strong focus on perfection, performance optimization, and scalability

• Collaborative & Open Source-Minded – Engages with the AI research community and contributes to publications and open-source initiatives

Key Responsibilities

1. Research & Develop Type-Safe AI Architectures

   • Design and implement advanced type systems for AI-driven collaboration, ensuring robust type safety and inference.

   • Develop highly structured, type-safe APIs for enterprise-scale AI applications.

2. Advance Embeddings & Multi-Modal AI Models

   • Research and implement novel approaches to embedding and retrieving multi-modal content (text, code, visual).

   • Optimize AI models for high-speed, high-accuracy retrieval in vector databases.

3. Enhance Cognitive AI Reasoning & Chain-of-Thought Systems

   • Develop and refine cognitive architectures that enhance AI-driven decision-making and reasoning capabilities.

   • Implement chain-of-thought prompting strategies to improve AI inference and response accuracy.

4. Prototype & Validate AI Research Concepts

   • Rapidly prototype new AI-driven collaboration features to test real-world feasibility.

   • Work closely with platform engineers to translate research findings into production-ready implementations.

5. Integrate AI Research into Enterprise Platforms

   • Collaborate with the core platform team to seamlessly integrate AI advancements into the enterprise collaboration environment.

   • Work on AI-powered development tools, coding assistants, and automated workflows to enhance developer productivity.

6. Contribute to AI Research & Open Source

   • Publish research findings, contribute to open-source AI projects, and engage with the global AI research community.

   • Present findings at industry conferences, workshops, and AI summits.

Technical Requirements & Core Skills

Programming & Development:

• Expert-level TypeScript development with a deep understanding of advanced type systems

• Strong full-stack development experience – expertise in Node.js, React, and API design

• Deep AI/ML knowledge – embeddings, reasoning systems, and multi-modal AI models

• Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)

AI Research & Innovation Focus Areas:

• Type theory & type-safe AI interactions

• Cognitive architectures & reasoning systems

• Real-time AI collaboration & multi-modal content processing

• Automated developer workflows using AI-powered assistants

Requirements:

• 5+ years experience in AI/ML research and full-stack system architecture

• Expert in TypeScript, Type Systems, and API design

• Deep expertise in cognitive AI, embeddings, reasoning systems, and AI-driven collaboration

• Proven track record of bridging AI research with real-world enterprise implementations

• Passionate about AI-powered development tools and automation