Generative AI Engineer

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

Job summary

Ethereum Technologies in Salt Lake City, UT seeks a Generative AI Engineer to develop AI-powered applications using LLMs, RAG, and agentic AI. You will design conversational interfaces, integrate foundation models, and build enterprise AI solutions with Python, modern AI frameworks, and cloud services.

The role emphasizes prompt engineering, vector databases, and deployment of AI workflows at scale, including server-side APIs, back-end services, and AI security practices.

Qualifications

• 4–8 years of software/AI engineering experience with hands-on GenAI.
• Strong Python programming and RESTful API experience.
• Hands-on experience with LangChain, LangGraph, or LlamaIndex.
• Experience with vector databases and semantic search.

Responsibilities

• Design, develop, and deploy Generative AI apps using OpenAI, Azure OpenAI, Anthropic, and other LLM platforms.
• Build chatbots, virtual assistants, and enterprise copilots.
• Develop prompt engineering strategies (zero-shot, few-shot, chain-of-thought).
• Integrate LLM capabilities into enterprise apps via APIs and backend services.
• Create RAG pipelines and document ingestion and embedding workflows.
• Work with vector databases and semantic search tools (Pinecone, ChromaDB, FAISS, Weaviate).
• Develop AI agents and multi-agent workflows using LangChain, LangGraph, and LlamaIndex.

Skills

Python

RESTful APIs

LLMs

RAG

Prompt engineering

Vector databases

Cloud AI services

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

ChromaDB

FAISS

Weaviate

FastAPI

Docker

Kubernetes

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.