Jobs via Dice
Senior Gen AI Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Gen AI Lead for a contract position in San Jose, CA, offering $65-$70/hr. Key skills include strong Python development, LLMs, prompt engineering, and cloud AI services. On-site work is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
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🗓️ - Date
January 29, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Jose, CA
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Regression #Python #Cloud
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today!
We are looking for Senior Gen AI Lead for our client in San Jose, CA
Job Title: Senior Gen AI Lead
Job Location: San Jose, CA
Job Type: Contract
Job Description:
Pay Range: $65hr - $70hr
Responsibilities:
• Build multi-step and multi-agent workflows.
• Implement RAG pipelines and document retrieval strategies.
• Design prompt templates, system instructions, and guardrails.
• Integrate agents with tools, APIs, and internal services.
• Optimize latency, accuracy, and token usage.
• Create automated LLM evaluation and regression tests.
Required Skills:
• Strong Python development skills.
• Hands-on experience with LLMs and embeddings.
• Solid understanding of prompt engineering and hallucination mitigation.
• Familiarity with cloud AI services.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today!
We are looking for Senior Gen AI Lead for our client in San Jose, CA
Job Title: Senior Gen AI Lead
Job Location: San Jose, CA
Job Type: Contract
Job Description:
Pay Range: $65hr - $70hr
Responsibilities:
• Build multi-step and multi-agent workflows.
• Implement RAG pipelines and document retrieval strategies.
• Design prompt templates, system instructions, and guardrails.
• Integrate agents with tools, APIs, and internal services.
• Optimize latency, accuracy, and token usage.
• Create automated LLM evaluation and regression tests.
Required Skills:
• Strong Python development skills.
• Hands-on experience with LLMs and embeddings.
• Solid understanding of prompt engineering and hallucination mitigation.
• Familiarity with cloud AI services.
