Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 16, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Azure #ML (Machine Learning) #FastAPI #Python #Flask #GCP (Google Cloud Platform) #NoSQL #React #Databases #Cloud #Visualization #AWS (Amazon Web Services) #SQL (Structured Query Language) #Django #Docker #Angular #AI (Artificial Intelligence) #Knowledge Graph
Role description
Job Role: Integration Engineer – Full stack Python (AI Agents, LangGraph, Context Engineering)
Job Location: Dallas, TX
Experience: 8+
Required Skills & Qualifications:
Proven experience with fullstack Python development (FastAPI, Flask, Django, React/Vue/Angular, SQL/NoSQL databases).
Hands-on experience building and integrating AI agents (LLMs, RAG, multi-agent systems) in production environments.
Familiarity with the LangGraph framework and agent orchestration patterns.
Deep understanding of context engineering, including retrieval-augmented generation, prompt design, and session management.
Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines.
Strong problem-solving skills, attention to detail, and a collaborative mindset.
Preferred:
Knowledge of advanced ML model serving, vector search, or knowledge graph integration.
Experience with modern front-end frameworks and data visualization tools.
Contributions to open-source AI or agent frameworks.
Job Role: Integration Engineer – Full stack Python (AI Agents, LangGraph, Context Engineering)
Job Location: Dallas, TX
Experience: 8+
Required Skills & Qualifications:
Proven experience with fullstack Python development (FastAPI, Flask, Django, React/Vue/Angular, SQL/NoSQL databases).
Hands-on experience building and integrating AI agents (LLMs, RAG, multi-agent systems) in production environments.
Familiarity with the LangGraph framework and agent orchestration patterns.
Deep understanding of context engineering, including retrieval-augmented generation, prompt design, and session management.
Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines.
Strong problem-solving skills, attention to detail, and a collaborative mindset.
Preferred:
Knowledge of advanced ML model serving, vector search, or knowledge graph integration.
Experience with modern front-end frameworks and data visualization tools.
Contributions to open-source AI or agent frameworks.
