Lead the design and development of production-grade AI applications that solve complex real-world challenges at scale. Architect scalable retrieval systems, agent workflows, and end-to-end AI solutions across the full technology stack. Requires proven experience in AI architecture, software engineering, and cloud technologies.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
A quick note before you apply: We genuinely appreciate your interest in joining Kake. Every application is carefully reviewed by our recruiting team. However, due to the high volume of applications we receive, we're unable to provide individual feedback or status updates to every applicant. If your profile is selected to move forward, we'll be in touch with the next steps.
We're looking for a Senior AI Architect to lead the design and development of production-grade AI applications that solve complex real-world challenges at scale.
In this role, you'll combine AI architecture, software engineering, and cloud technologies to build intelligent systems from concept to deployment. You'll work across the full technology stack, designing scalable AI solutions, retrieval systems, agent workflows, and modern application architectures that power next-generation products.
This opportunity is ideal for someone who thrives at the intersection of AI innovation and software engineering, enjoys solving complex technical problems, and has a proven track record of bringing AI-powered systems into production.
Key Responsibilities
- Design and architect production-grade AI applications and platforms.
- Build and evolve scalable retrieval and knowledge systems that support AI-powered experiences.
- Design and implement agent-based and multi-agent architectures to solve complex workflows and automation challenges.
- Develop backend services, APIs, data pipelines, and cloud-native infrastructure supporting AI systems.
- Architect end-to-end solutions that balance performance, scalability, reliability, and security.
- Drive technical decisions related to AI application design, orchestration, deployment, and system integration.
- Collaborate with engineering teams to deliver high-quality solutions across multiple layers of the technology stack.
- Integrate AI solutions with internal and external platforms, services, and data sources.
- Contribute to engineering standards, architecture reviews, and technical best practices.
- Mentor engineers and promote a culture of technical excellence.
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Core Requirements
- Proven experience designing, building, and deploying AI-powered applications in production environments.
- Strong experience with Retrieval-Augmented Generation (RAG) architectures and retrieval-based systems.
- Experience designing and implementing agent-based or multi-agent systems for real-world production use cases.
- Deep understanding of information retrieval, semantic search, knowledge systems, and AI orchestration patterns.
- Experience developing and optimizing AI workflows, including retrieval, ranking, context management, and response generation.
- Strong software architecture and distributed systems design experience.
- Advanced proficiency in Python and modern software development practices.
- Experience building backend services, APIs, and scalable cloud-native applications.
- Experience with modern frontend technologies such as React, Next.js, or similar frameworks.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Experience with Docker, Kubernetes, and modern deployment practices.
- Understanding of security, authentication, and enterprise integration patterns.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote, fast-paced environment.
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Nice-to-Have
- Experience working with large-scale language models and advanced AI architectures.
- Familiarity with vector databases, hybrid search, reranking, and retrieval optimization techniques.
- Experience with AI observability, evaluation frameworks, and performance monitoring.
- Experience leading technical initiatives or mentoring engineering teams.
- Exposure to streaming, real-time systems, or high-scale distributed platforms.
Additional
- US Timezone Overlap: 6h–7h daily CST
The icing on the Kake:
💵 Competitive Pay in USD – Work globally, get paid globally.
🏡 Fully Remote – Simply put, we trust you.
🌱 Better Me Fund – We invest in your personal growth and passions.
❤️ Compassion is Badass – Join a community that invests in social good.
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