Apply to Senior AI Automation Developer (Azure, LLM & RAG) - Benjamin Cheng's Backfill

Role Overview

We are seeking a hands-on Senior Full-Stack AI Engineer to design, build, and deploy production-grade AI-native applications. In this role, you will lead the integration of Large Language Models (LLMs), AI agent frameworks, and vector search systems into scalable web applications, bridging the gap between cutting-edge Generative AI features and robust full-stack software architecture.

Key Responsibilities

AI Systems Architecture & Engineering: Design and implement agentic AI workflows, LLM orchestration layers, and RAG (Retrieval-Augmented Generation) pipelines using frameworks such as LangChain, LlamaIndex, or AutoGen.
Backend Development: Build high-performance, asynchronous REST/gRPC APIs and microservices using Python (FastAPI/Flask) or Node.js to interface with vector databases (Pinecone, Qdrant, Chroma) and relational/NoSQL storage.
Frontend Integration: Implement modern UI components in React, Next.js, or Angular to deliver real-time streaming AI interfaces, interactive dashboards, and conversational workflows.
MLOps & Evaluation: Implement continuous LLM performance monitoring, prompt management/versioning, latency optimization, cost management, and automated evaluation pipelines for model outputs.
Cloud & DevOps: Deploy scalable, containerized microservices on AWS/Azure/GCP using Docker and Kubernetes, maintaining CI/CD pipelines and observability tools.

Required Skills & Qualifications

Experience: 5+ years in full-stack software engineering, with at least 2+ years dedicated to building and deploying production-level AI/GenAI applications.
AI & LLM Stack: Strong proficiency with OpenAI APIs, Anthropic Claude, open-source models (Hugging Face), vector databases, and agentic frameworks.
Core Tech Stack: Python (FastAPI), JavaScript/TypeScript (React, Next.js, Node.js), and database systems (PostgreSQL, MongoDB, Redis).
Software Engineering: Solid understanding of microservices, event-driven architectures, API security, and asynchronous programming.
Cloud & CI/CD: Hands-on experience with cloud platforms, preferably Azure, Docker, and modern CI/CD tools.