Tech Lead

LLM/Prompt Context Engineer Fullstack Python (AI Agents, LangGraph, Context Engineering)

We are looking for a highly skilled LLM/Prompt Context Engineer with a strong fullstack Python background to design, develop, and integrate intelligent systems focused on large language models (LLMs), prompt engineering, and advanced context management. In this role, you will play a critical part in architecting context rich AI solutions, crafting effective prompts, and ensuring seamless agent interactions using frameworks like LangGraph.

Key Responsibilities:

• Prompt Context Engineering: Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
• Context Management: Architect and implement dynamic context management strategies, including session memory, retrieval augmented generation, and user personalization, to enhance agent performance.
• LLM Integration: Integrate, fine tune, and orchestrate LLMs within Python based applications, leveraging APIs and custom pipelines for scalable deployment.
• LangGraph Agent Flows: Build and manage complex conversational and agent workflows using the LangGraph framework to support multi agent or multi step solutions.
• Fullstack Development: Develop robust backend services, APIs, and (optionally) front end interfaces to enable end to end AI powered applications.