Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer in San Jose, CA, with an 8+ years experience requirement. Key skills include fullstack Python development, AI agent integration, and cloud platforms. Contract length is C2C; H1B, H4EAD, L2S visas are acceptable.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 18, 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
San Jose, CA
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🧠 - Skills detailed
#Django #FastAPI #NoSQL #SQL (Structured Query Language) #Python #Knowledge Graph #Azure #Databases #Flask #Angular #AI (Artificial Intelligence) #React #ML (Machine Learning) #AWS (Amazon Web Services) #Docker #GCP (Google Cloud Platform) #Visualization #Cloud
Role description
Integration Engineer – Full stack Python Developer
Location: San Jose, CA(Onsite)
Experience: 8+
H1B, H4EAD, L2S Visa is workable
C2C
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.
Integration Engineer – Full stack Python Developer
Location: San Jose, CA(Onsite)
Experience: 8+
H1B, H4EAD, L2S Visa is workable
C2C
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.
