Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in MTV, California, on a contract basis. Key skills include proficiency in Python, experience with LangChain/Llamaindex, and knowledge of cloud LLM providers. Security/privacy mindset and orchestration experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 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
Mountain View, CA
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🧠 - Skills detailed
#Langchain #Security #Python #Azure #AI (Artificial Intelligence) #Monitoring #Observability #AWS (Amazon Web Services) #Airflow #Cloud
Role description
Position- Generative AI engineer
Location- MTV California onsite Role
Contract
What you'll do
• Design, build, and ship GenAl solutions from prototype to production.
• Architect RAG pipelines leveraging large language models.
• Lead prompt engineering: system/tool prompts, function calling, prompt versioning with offline/online evals. Implement evaluation & observability with ground source of truth establishment, confusion metrics, LLM-as-judge with human review, cost & latency monitoring.
• Proficiency in Python and experience with LangChain/Llamaindex (or equivalent).
• Deep understanding of retrieval strategies, prompt patterns, model context management, and hallucination mitigation.
• Experience with cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex Al) and orchestration (Airflow/Dagster). Security/privacy mindset (PII handling, RBAC), and practical cost/performance tuning.
• Partner with product, design, legal/security to ensure safety, privacy, and measurable business impact.
Position- Generative AI engineer
Location- MTV California onsite Role
Contract
What you'll do
• Design, build, and ship GenAl solutions from prototype to production.
• Architect RAG pipelines leveraging large language models.
• Lead prompt engineering: system/tool prompts, function calling, prompt versioning with offline/online evals. Implement evaluation & observability with ground source of truth establishment, confusion metrics, LLM-as-judge with human review, cost & latency monitoring.
• Proficiency in Python and experience with LangChain/Llamaindex (or equivalent).
• Deep understanding of retrieval strategies, prompt patterns, model context management, and hallucination mitigation.
• Experience with cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex Al) and orchestration (Airflow/Dagster). Security/privacy mindset (PII handling, RBAC), and practical cost/performance tuning.
• Partner with product, design, legal/security to ensure safety, privacy, and measurable business impact.
