Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
100% Travel
Skills
Fullstack Python
LLM/Prompt-Context Engineer
AI Agents
LangGraph
Context Engineering
Docker
FastAPI
Flask
Djang
SQL/NoSQL databases
Job Details
Note:
W2 only
Onsite
W2 only
Onsite
Role: LLM/Prompt-Context Engineer Fullstack Python (AI Agents, LangGraph, Context Engineering)
Locations Atlanta, GA / Dallas, TX / Seattle, WA
No Of positions: 3
No Of positions: 3
We are looking for a highly skilled LLM/Prompt-Context Engineer with a strong fullstack Python background
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.
Required Skills & Qualifications
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs).
Strong understanding of context engineering, including retrieval-augmented generation, vector search, and knowledge retrieval strategies.
Hands-on experience integrating AI agents and LLMs in production systems.
Proficient with conversational flow frameworks such as LangGraph.
Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices.
Exceptional analytical, problem-solving, and communication skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.