About ConsuyConsuy is reimagining enterprise technology with a platform powered by 100s of autonomous AI agents. These agents collaborate in real time to design, implement, and manage enterprise tech solutions — completely hands-free. Our mission is to create a self-sustaining technology ecosystem for enterprises by embedding agentic intelligence at every layer of operations.Role OverviewWe are looking for a hands-on AI Architect who will be the backbone of our agentic AI strategy. This individual will architect and oversee the implementation of AI-driven systems where users can visually create AI agents and define intelligent workflows directly from the frontend.You will play a key role in designing robust, scalable AI systems, from data pipelines to inference layers, while ensuring seamless integration across complex enterprise environments.Key ResponsibilitiesArchitect AI Workflows: Design and implement scalable AI systems that support agent creation and orchestration from the frontend.Guide Development: Provide technical leadership to engineering teams on integrating LLMs, agent frameworks, vector databases, and orchestration pipelines.Infrastructure Ownership: Own the full AI architecture, from data pipelines, model serving infrastructure, to in-context memory and state management.Frontend-AI Bridge: Define APIs and schemas that allow users to build and control AI agents and flows through intuitive UI interfaces.Proof of Concepts: Rapidly prototype experimental features, tools, or architectures that push the boundaries of what’s possible with generative AI.Code Review & Mentorship: Ensure quality through hands-on contribution, architecture reviews, and mentoring junior AI/ML engineers.Requirements5+ years of experience in AI/ML, with at least 2 years architecting complex systems involving LLMs or generative AI.Hands-on expertise in frameworks like LangChain, Haystack, or custom agentic frameworks.Proficiency in Python, and experience with backend frameworks and RESTful API design.Strong understanding of modern data structures, vector embeddings, memory architectures, and retrieval-augmented generation (RAG).Prior experience integrating AI with frontend interfaces (e.g., agent builders, visual workflows, prompt designers).Experience with vector DBs (e.g., Pinecone, Weaviate, Qdrant) and MLOps tools.Knowledge of cloud-native architecture and container orchestration.Nice to HaveExperience building AI features inside enterprise SaaS products.Exposure to frontend libraries or frameworks (React, TypeScript) for AI user interfaces.Published work or open-source contributions in the agentic AI space.
Job Title
AI Architect