LLM / Prompt-Context Engineer – Fullstack Python

Role: LLM / Prompt-Context Engineer – Fullstack Python Experience: 12+ Years Focus: AI Agents, LangGraph, Context Engineering Why This Role Matters We’re building next-gen AI systems that don’t just generate text, but actually understand and use context to create meaningful, intelligent interactions. This role is ideal if you want to be at the frontier of LLMs, prompt engineering, and AI agents — not just consuming them, but designing how they think and act. What You’ll Do • Design and optimize prompts & context strategies (memory, personalization, retrieval-augmented generation). • Build and orchestrate AI agents using frameworks like LangGraph. • Integrate LLMs (OpenAI, Anthropic, HuggingFace, etc.) into production Python systems. • Develop fullstack apps (FastAPI, Flask, Django; SQL/NoSQL DBs). • Deploy at scale using cloud, Docker, CI/CD. • Continuously evaluate, monitor, and improve prompt & agent performance. What You Bring • Strong Python fullstack experience. • Real-world work with LLMs, prompts, and context engineering. • Experience with LangGraph / LangChain / AI agent flows. • Solid understanding of vector search, RAG, retrieval systems. • Comfort with cloud, containers, CI/CD pipelines. Bonus Points • Fine-tuning LLMs. • Experience with information retrieval/knowledge systems. • Open-source AI contributions.