Ai Research Engineer

Summary

Join Centric Software as an AI Research Engineer – Platform Innovation and contribute to cutting-edge AI research and development. This remote role, based in the US or Canada, requires expertise in TypeScript, embeddings, cognitive AI, and real-time systems. You will research and develop type-safe AI architectures, advance embeddings and multi-modal AI models, and enhance cognitive AI reasoning. The ideal candidate possesses a strong foundation in type theory, modern AI architecture, and full-stack development, with a proven ability to translate research into scalable, production-ready systems. Compensation is $170K - $220K USD. This position offers the opportunity to collaborate with a team of experts and contribute to open-source projects.

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
• 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)
• Enterprise-scale AI deployment expertise – building AI-powered platforms at scale
• Deep knowledge of type theory & system design – experience with static typing, functional programming, and declarative system modeling
• Performance optimization & scaling strategies – ensuring AI models are fast, efficient, and scalable

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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

Benefits

Compensation: $170K - $220K USD