AI Systems Architect for Next-Generation Innovations
2 weeks ago
KAYA is seeking a seasoned full-stack engineer with extensive experience in cutting-edge Generative AI, particularly in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and advanced Language Model (SLM/LLM) implementations.
As an AI Systems Architect, you will lead the design, development, and deployment of next-generation AI-powered systems that leverage small and large language models, multi-agent frameworks, and complex contextual embeddings. Your expertise will influence not only technical decisions but also product strategy and innovation, guiding a small team to deliver robust, scalable solutions.
You will drive the end-to-end development of AI-centric functionalities, ensuring seamless integration across both backend and frontend layers. This includes designing and implementing Gen AI Systems:
- Designing and deploying AI Agents, Agent orchestrations within agentic frameworks, RAG-driven workflows, and harnessing both small and large language models to deliver contextually aware, intelligent experiences.
You will also optimize AI methodologies by applying best practices in prompt engineering, query expansion, chunking strategies, re-ranking, response refinements, and vector-based retrieval to enhance model performance, accuracy, and responsiveness.
In addition, you will integrate with backend and frontend services using Python (with FastAPI) and ensure smooth data flow to a React-based or Angular frontend. You will utilize real-time communication methods as needed, while prioritizing more critical AI data pipelines and workflow orchestration.
This role also requires leveraging AIML libraries and datastores, employing tools like LangChain, LlamaIndex, and LangGraph to construct intelligent, context-driven solutions, and efficiently managing relational and vector databases to support large-scale AI deployments.
You will deploy and manage AI solutions on platforms such as Azure, AWS, or GCP, taking full advantage of their machine learning and scaling capabilities.
To be successful in this position, you must apply strong design principles and best practices to craft scalable, maintainable, and high-performance systems that handle complex multi-agent interactions and high-volume queries.
Additionally, you will mentor a small team of engineers, set technical standards, conduct code reviews, and foster a collaborative culture. You will also engage with clients, translating their requirements into technical solutions, communicating progress, and ensuring deliverables meet their expectations.
The estimated salary for this position is $140,000 per year, based on industry standards and qualifications.
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