Generative AI Engineer

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

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.