Role & responsibilities

Hands-On Full-Stack Technology Architect with AI and LLM expertise is a senior technical leader who designs scalable, intelligent systems while actively contributing across the tech stack. This role is ideal for someone who combines contemporary web and backend development with deep experience in integrating and scaling Large Language Model (LLM) platforms such as OpenAI, Claude, Mistral, or custom models via Hugging Face, AWS Bedrock, or Vertex AI.

Architecture & Design Define robust, scalable, cloud-native, cloud agnostic architectures for AI platforms Architect and prototype AI systems/platforms Design and document system architecture (component diagrams, API contracts, deployment topology).

Champion modern design patterns (microservices, micro frontends, event-driven, DDD, etc.).

Build composable architecture patterns for integrating LLM APIs with microservices and UI layers. •

Create end-to-end architectures, build distributions, environments and deploy solutions.

Hands-On Development Build and integrate reusable components, LLM-enabled APIs,



and workflows with stateful orchestration where needed (e.g., using LangChain or semantic pipelines).

Develop and iterate on PoCs and reference implementations of LLM-based features.

Write maintainable, high-quality code in both frontend (React) and backend (Python ,Node.js, Java, Go) technologies.

Build reusable UI components, design systems, and frontend microservices where applicable. Create proof-of-concepts and reference implementations to de-risk architectural decisions.

Contribute to CI/CD automation, DevOps pipelines, and infrastructure-as-code setups (Terraform, Helm).

Frontend Engineering Architect and implement responsive UIs with state management (Redux, Zustand, or similar).

Integrate RESTful and GraphQL APIs, implement frontend performance tuning and security best practices (XSS, CSP, etc.). Define and enforce front-end development standards and reusable design patterns. LLM Engi

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