GenAI Engineer: Enterprise AI & LLM Solutions

Robotic Technologies Automation; Salt Lake City (UT); On-site; USD 97,000 - 138,000; Full time

Job summary

Robotic Technologies Automation in Salt Lake City is seeking a Generative AI Engineer to build AI-powered applications using LLMs, RAG, and agentic AI. You will design and deploy enterprise AI solutions, develop conversational interfaces, and integrate foundation models with backend systems.

The role emphasizes Python proficiency, experience with vector databases, cloud AI services, and modern AI frameworks.

Qualifications

• 4–8 years of experience in software development or AI engineering with hands-on GenAI.
• Strong Python skills and experience building RESTful APIs.
• Experience with LLMs, RAG architecture, prompt engineering, and embeddings.
• Hands-on knowledge of LangChain, LangGraph, or LlamaIndex.
• Experience with vector databases and semantic search technologies.

Responsibilities

• Design, develop, and deploy Generative AI applications using OpenAI, Azure OpenAI, Anthropic, and other LLM platforms.
• Build intelligent chatbots, virtual assistants, enterprise copilots, and conversational AI solutions.
• Develop prompt engineering strategies, including zero-shot, few-shot, and chain-of-thought prompting.
• Integrate LLM capabilities into enterprise applications through APIs and backend services.
• Optimize model responses for accuracy, relevance, latency, and cost efficiency.

Skills

Python

REST APIs

LLMs

RAG

Prompt engineering

Embeddings

LangChain

LangGraph

LlamaIndex

Vector databases

Tools

Docker

Kubernetes

FastAPI

Flask

AWS Bedrock

Azure AI Foundry

Vertex AI

Job description

Robotic Technologies Automation in Salt Lake City is seeking a Generative AI Engineer to build AI-powered applications using LLMs, RAG, and agentic AI. You will design and deploy enterprise AI solutions, develop conversational interfaces, and integrate foundation models with backend systems.

The role emphasizes Python proficiency, experience with vector databases, cloud AI services, and modern AI frameworks.