Lorven Technologies Inc.
Gen AI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract position in Mountain View, CA, focusing on designing and implementing GenAI solutions. Key skills include Python, LangChain, cloud LLM providers, and security/privacy practices. Experience with orchestration tools and retrieval strategies is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 26, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#Langchain #AI (Artificial Intelligence) #Airflow #Python #Cloud #Observability #Security #Monitoring #Azure #AWS (Amazon Web Services)
Role description
Gen AI
Position: Contract
Location: Mountain View, CA
Duration: Long term
Job description:
• Design, build, and ship GenAI 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 AI) 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
Gen AI
Position: Contract
Location: Mountain View, CA
Duration: Long term
Job description:
• Design, build, and ship GenAI 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 AI) 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
