Lead the design, development, and deployment of production-grade AI applications at Kake, a technology company focused on AI-driven solutions. Design scalable AI solutions, retrieval systems, agent workflows, and modern application architectures while working across the entire technology stack. Require proven experience in AI architecture, RAG systems, agent-based systems, Python, cloud platforms, and backend services development.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About The Company
Kake is a forward-thinking technology company dedicated to developing innovative AI-driven solutions that address complex real-world challenges. Our mission is to harness the power of artificial intelligence to create intelligent systems that enhance user experiences, streamline workflows, and enable organizations to achieve their strategic goals. With a focus on cutting-edge research and practical deployment, Kake fosters a collaborative environment where creativity, technical excellence, and social impact converge. We are committed to building a diverse and inclusive team that pushes the boundaries of what AI can accomplish, ensuring our solutions are scalable, reliable, and ethically responsible.
About The Role
We are seeking a highly skilled and experienced Senior AI Architect to lead the design, development, and deployment of production-grade AI applications at Kake. In this pivotal role, you will leverage your expertise in AI architecture, software engineering, and cloud technologies to create intelligent systems that solve complex problems at scale. You will work across the entire technology stack, designing scalable AI solutions, retrieval systems, agent workflows, and modern application architectures that power our next-generation products. This is an excellent opportunity for a visionary professional who thrives at the intersection of AI innovation and software engineering, enjoys tackling technical challenges, and has a proven track record of operationalizing AI-powered systems.
Qualifications
The ideal candidate will possess proven experience in designing, building, and deploying AI-powered applications in production environments. Strong expertise in Retrieval-Augmented Generation (RAG) architectures and retrieval-based systems is essential. Candidates should have experience developing and implementing agent-based or multi-agent systems for real-world use cases, along with a deep understanding of information retrieval, semantic search, and knowledge systems. Proficiency in Python and modern software development practices is required, alongside experience in building backend services, APIs, and scalable cloud-native applications. Familiarity with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes, is also expected. Excellent communication skills in English and the ability to work independently in a remote, fast-paced environment are crucial. Additional skills such as experience with large-scale language models, vector databases, AI observability, and high-scale distributed systems are considered advantageous.
Responsibilities
- Design and architect production-grade AI applications and platforms that are scalable, reliable, and secure.
- Build and enhance retrieval and knowledge systems supporting AI-driven experiences.
- Design and implement agent-based and multi-agent architectures to automate complex workflows and tasks.
- Develop backend services, APIs, data pipelines, and cloud-native infrastructure to support AI systems.
- Architect end-to-end solutions balancing performance, scalability, security, and maintainability.
- Lead technical decision-making related to AI application design, orchestration, deployment, and system integration.
- Collaborate with engineering teams to deliver high-quality, robust solutions across the technology stack.
- Integrate AI capabilities with internal and external platforms, services, and data sources.
- Contribute to engineering standards, architecture reviews, and the establishment of best practices.
- Mentor engineering team members, fostering a culture of technical excellence and continuous learning.
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At Kake, we believe in rewarding talent and dedication with competitive compensation packages paid in USD, allowing you to work and get paid globally. Our fully remote work environment offers flexibility and trust, empowering you to work from anywhere. We invest in your personal and professional growth through our Better Me Fund, supporting your passions and development initiatives. Join a community that values social good and compassion, making a meaningful impact through innovative AI solutions. Our comprehensive benefits package is designed to support your well-being, growth, and success, fostering a positive and engaging workplace culture.
Equal Opportunity
Kake is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace free from discrimination or bias. We encourage applications from individuals of all backgrounds, experiences, and perspectives, and we are committed to providing equal employment opportunities to all qualified candidates.
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