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# Senior AI Application Engineer

- **Company:** McClure Engineering Co.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Graph Database, Python (Programming Language), Recommender Systems, Software Safety, Search Technologies, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Build Management, Api Design, Servicenow
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3ad5c12b0e95091e

## About the Role

We are seeking a Senior AI Application Engineer with deep expertise in LLMs, RAG, Prompt Engineering, AI Safety, and Production AI Systems. You will build and own enterprise-grade AI applications that power intelligent learning experiences, conversational AI, adaptive recommendation engines, and multi-modal AI solutions. This is a production engineering role focused on building reliable, scalable, and secure AI products-not research or proof-of-concepts., * 10+ years of overall software engineering experience

 * 2+ years building production-grade LLM applications
 * Strong expertise in Python
 * Hands-on experience with RAG (Retrieval-Augmented Generation)
 * Prompt Engineering and LLM optimization
 * LangChain, LlamaIndex, or custom orchestration frameworks
 * AI Safety, Guardrails, Prompt Injection & Jailbreak Prevention
 * RAG Evaluation Frameworks (RAGAS, TruLens, or equivalent)
 * Vector Databases, Embeddings, and Semantic Search
 * Production AI monitoring, evaluation, and optimization
 * API development and AI service deployment

Preferred Skills

 * NVIDIA AI ecosystem
 * NeMo Guardrails
 * Knowledge Graphs
 * Multi-Agent AI Systems
 * Adaptive Learning Platforms
 * ServiceNow API Integration
 * Hybrid Search (BM25 + Vector Search), * production LLM applications: 1 year (Preferred)

## Description

* Design and build enterprise LLM applications
 * Develop scalable RAG pipelines and evaluation frameworks
 * Optimize prompt engineering, retrieval quality, and model accuracy
 * Implement AI safety, guardrails, hallucination detection, and security controls
 * Build multi-step LLM orchestration workflows
 * Improve latency, scalability, and production reliability
 * Collaborate with product, platform, and engineering teams to deliver AI-powered solutions

Why Join?

 * Build next-generation enterprise AI products
 * Work on LLMs, RAG, Multi-Agent AI, and Generative AI technologies
 * Solve challenging AI quality, safety, and scalability problems
 * Collaborate with experienced AI engineers and product leaders
 * Opportunity to shape production AI systems used by real customers

Pay: $150,000.00 - $170,000.00 per year


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