LLM/Prompt Context Engineer – Fullstack Python (AI Agents, LangGraph)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an LLM/Prompt Context Engineer – Fullstack Python on a contract basis, hybrid from Atlanta, GA/Dallas, TX/Seattle, WA. Requires 6+ years in software engineering, 2+ years with LLMs, strong Python skills, and experience with LangGraph.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#FastAPI #Flask #Python #AI (Artificial Intelligence) #Scala #Django #Langchain #Cloud #Azure #AWS (Amazon Web Services) #Databases #GCP (Google Cloud Platform)
Role description
Job Title: LLM/Prompt Context Engineer – Fullstack Python (AI Agents, LangGraph)
Location: Hybrid from Atlanta, GA/Dallas, TX/Seattle, WA
Type: Contract
Job Description:
We are looking for a Fullstack Engineer with deep expertise in LLMs and prompt/context engineering to design and build AI-powered applications. The ideal candidate will have strong Python development skills, hands-on experience with LangGraph/LangChain, and the ability to create and optimize AI agents with effective context and memory management.
Responsibilities:
• Develop and optimize prompts, RAG workflows, and context-handling pipelines.
• Build and deploy AI agents using LangGraph with multi-agent orchestration.
• Implement scalable fullstack solutions with Python (FastAPI/Flask/Django) and modern frontend frameworks.
• Integrate with vector databases and LLM APIs (OpenAI, Anthropic, etc.).
• Collaborate with cross-functional teams to deliver production-ready AI applications.
Qualifications:
• 6+ years in software engineering, 2+ years with LLM/AI solutions.
• Strong skills in Python, APIs, LangGraph/LangChain, and vector databases.
• Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of prompt engineering, context optimization, and AI agent design.
Job Title: LLM/Prompt Context Engineer – Fullstack Python (AI Agents, LangGraph)
Location: Hybrid from Atlanta, GA/Dallas, TX/Seattle, WA
Type: Contract
Job Description:
We are looking for a Fullstack Engineer with deep expertise in LLMs and prompt/context engineering to design and build AI-powered applications. The ideal candidate will have strong Python development skills, hands-on experience with LangGraph/LangChain, and the ability to create and optimize AI agents with effective context and memory management.
Responsibilities:
• Develop and optimize prompts, RAG workflows, and context-handling pipelines.
• Build and deploy AI agents using LangGraph with multi-agent orchestration.
• Implement scalable fullstack solutions with Python (FastAPI/Flask/Django) and modern frontend frameworks.
• Integrate with vector databases and LLM APIs (OpenAI, Anthropic, etc.).
• Collaborate with cross-functional teams to deliver production-ready AI applications.
Qualifications:
• 6+ years in software engineering, 2+ years with LLM/AI solutions.
• Strong skills in Python, APIs, LangGraph/LangChain, and vector databases.
• Experience with cloud platforms (AWS/Azure/GCP).
• Knowledge of prompt engineering, context optimization, and AI agent design.
