Generative AI Engineer

Quantum Technologies. LLC; Salt Lake City (UT); On-site; USD 99,000 - 135,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Generative AI (GenAI) Engineer in Salt Lake City, UT. The role focuses on building AI-powered applications using LLMs, RAG, and agentic AI technologies.

Strong Python and modern AI framework experience required. Responsibilities include designing conversational interfaces, integrating foundation models, and developing enterprise AI workflows, with emphasis on prompt engineering, vector databases, and cloud services.

Qualifications

• 4–8 years of software/AI engineering experience with Generative AI.
• Strong Python and RESTful API development skills.
• Hands-on with LLMs, RAG, prompts, and embeddings.
• Experience with LangChain, LangGraph, or LlamaIndex.
• Familiar with vector databases and semantic search.
• Experience with AWS, Azure, or Google Cloud AI services.
• Good communication and problem-solving skills.

Responsibilities

• Design, develop, and deploy Generative AI apps using OpenAI and other LLM platforms.
• Build chatbots, virtual assistants, and enterprise copilots.
• Develop prompt engineering strategies (zero-shot, few-shot, chain-of-thought).
• Integrate LLMs into enterprise apps via APIs.
• Optimize model responses for accuracy and cost.
• Architect RAG pipelines for enterprise data and vector workflows.
• Work with vector databases like Pinecone, ChromaDB, FAISS, Weaviate.
• Implement hybrid search, metadata filtering, and context retrieval.
• Develop AI agents and multi-agent workflows with LangChain ecosystem.
• Implement tool calls, memory management, and autonomous task execution.
• Build workflow orchestration using agent-based architectures.
• Connect AI apps with REST APIs and internal data sources.
• Explore MCP for connecting AI with external tools.

Skills

Python

LLMs

RAG

LangChain

Vector databases

REST APIs

Cloud services

Tools

Docker

FastAPI

AWS

Azure

Vertex AI

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Generative AI (GenAI) Engineer
Location: Salt Lake City, UT
Duration: 15 Months + Extension
Bill Rate: $85/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

The Generative AI Engineer will be responsible for developing intelligent, AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. This position involves building enterprise AI solutions, designing conversational interfaces, integrating foundation models, and developing intelligent automation workflows. The ideal candidate should have strong Python programming experience and practical knowledge of modern AI frameworks, prompt engineering, vector databases, and cloud-based AI services.

LLM Application & AI Solution Development:

• 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.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise data.
• Develop document ingestion, text chunking, embedding generation, and semantic search workflows.
• Work with vector databases such as Pinecone, ChromaDB, FAISS, and Weaviate.
• Implement hybrid search, metadata filtering, reranking, and context retrieval techniques.
• Connect LLM applications with internal knowledge bases, databases, and external data sources.
• Develop AI agents and multi-agent workflows using LangChain, LangGraph, and LlamaIndex.
• Implement tool calling, function calling, memory management, and autonomous task execution.
• Build workflow orchestration solutions using agent-based architectures.
• Integrate AI agents with REST APIs and enterprise applications.
• Explore Model Context Protocol (MCP) for connecting AI systems with external tools and services.

Cloud Deployment & AI Operations:

• Develop backend services using Python, FastAPI, and Flask.
• Deploy AI applications using AWS Bedrock, Azure AI Foundry, or Google Vertex AI.
• Containerize applications using Docker and support Kubernetes-based deployments.
• Implement LLM evaluation, monitoring, guardrails, and responsible AI practices.
• Maintain CI/CD pipelines and support production deployment and performance optimization.

Required Technical Background:

• 4-8 years of experience in software development, AI engineering, or related fields, with hands-on Generative AI experience.
• Strong proficiency in Python and experience building RESTful APIs.
• Practical 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.
• Familiarity with AWS, Azure, or Google Cloud AI services.
• Understanding of NLP, machine learning fundamentals, model evaluation, and AI security.
• Strong analytical, problem-solving, and communication skills.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.