Overview
On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Skills
Generative Artificial Intelligence (AI)
Prompt Engineering
Management
LangChain
LlamaIndex
Cloud Computing
Microsoft Azure
Amazon Web Services
Vertex
Artificial Intelligence
Workflow
Orchestration
Privacy
RBAC
Python
SANS
Evaluation
Job Details
GenAI Engineer
Mountain View, CA, Hybrid,
Customer Need
The project is focused on building production-grade GenAI solutions with emphasis on:
" RAG pipelines leveraging LLMs
" Prompt engineering (system/tool prompts, function calling, versioning with evals)
" Evaluation & observability (ground truth setup, confusion metrics, LLM-as-judge with human review, cost & latency monitoring)
" Retrieval strategies & prompt patterns (context management, hallucination mitigation)
" LangChain/LlamaIndex (or equivalent) proficiency
" Cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex AI)
" Workflow orchestration (Airflow, Dagster)
" Security & privacy (PII handling, RBAC)
" Python expertise with strong practical experience
Success criteria:
" A production-ready prompt + RAG pipeline system with measurable quality lift (accuracy/confusion metrics) and reduced hallucinations, backed by a repeatable evaluation harness.
Mountain View, CA, Hybrid,
Customer Need
The project is focused on building production-grade GenAI solutions with emphasis on:
" RAG pipelines leveraging LLMs
" Prompt engineering (system/tool prompts, function calling, versioning with evals)
" Evaluation & observability (ground truth setup, confusion metrics, LLM-as-judge with human review, cost & latency monitoring)
" Retrieval strategies & prompt patterns (context management, hallucination mitigation)
" LangChain/LlamaIndex (or equivalent) proficiency
" Cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex AI)
" Workflow orchestration (Airflow, Dagster)
" Security & privacy (PII handling, RBAC)
" Python expertise with strong practical experience
Success criteria:
" A production-ready prompt + RAG pipeline system with measurable quality lift (accuracy/confusion metrics) and reduced hallucinations, backed by a repeatable evaluation harness.
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