Full Stack AI Engineers

Key Responsibilities Backend & API Engineering: Build and scale robust backend services and microservices using Node.js/TypeScript and Python. AI Orchestration: Design and implement agentic workflows, multi-agent coordination, and tool-calling structures using frameworks like LangChain, CrewAI, or AutoGen. Semantic Knowledge Management: Implement Retrieval-Augmented Generation (RAG) pipelines and historical pattern matching utilizing PostgreSQL (including vector extensions). Frontend Implementation: Develop clean, high-performance interfaces using React or Next.js to visually render AI reasoning paths, interactive timelines, and system workflows. System Optimization & Deployment: Fine-tune prompts and orchestration logic to reduce latency and token usage; containerize and deploy services using Docker across cloud environments. Required Skills & Qualifications Experience: 3+ years of professional full-stack software development experience. Languages: Proficient in TypeScript/JavaScript (Node.js) and Python. Databases: Hands-on experience with PostgreSQL, alongside exposure to high-scale data layers like ClickHouse or time-series databases. AI & LLM Knowledge: Practical experience integrating LLMs (OpenAI, Anthropic, or open-source models) and executing agentic patterns (memory, tool-use, planning). Frontend Tech: Strong experience with modern frontend frameworks (React.js or Next.js), state management tools, and clean UI design layouts. DevOps/Infrastructure: Familiarity with Docker containerization, major cloud platforms (AWS, GCP, or Azure), and setting up automated CI/CD pipelines.