Generative AI Engineer

Ethereum Technologies LLC; Phoenix (AZ); On-site; USD 120,000 - 210,000; Full time

Job summary

Ethereum Technologies in Phoenix, AZ is seeking a senior AI Engineer to design and deploy scalable GenAI solutions using RAG architectures and leading LLMs. You will build end-to-end data ingestion, embedding, indexing, and retrieval pipelines, and optimize prompts to maximize model performance.

Collaborating with cross-functional teams, you will integrate vector databases, ensure security and governance, and deploy GenAI applications across cloud platforms with robust monitoring and cost

Qualifications

• Experience with Generative AI and RAG frameworks.
• Proficient in Python programming.
• Hands-on with LangChain, LlamaIndex, or similar orchestration tools.
• Experience with LLMs and foundation models.
• Strong prompt engineering and model evaluation skills.
• Familiarity with vector databases and embeddings.
• Knowledge of REST APIs, microservices, and cloud platforms.
• Experience with Docker, Kubernetes, CI/CD and DevOps.

Responsibilities

• Design and implement scalable Generative AI solutions using RAG architectures.
• Develop AI-powered applications leveraging LLMs such as GPT, Claude, Llama, and Gemini.
• Build end-to-end data ingestion, embedding, indexing, retrieval, and response-generation pipelines.
• Develop and optimize prompt engineering strategies for improved model performance.
• Integrate vector databases and semantic search capabilities into AI applications.
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
• Monitor, evaluate, and improve model accuracy, relevance, latency, and cost efficiency.
• Implement security, governance, and Responsible AI best practices.
• Deploy and maintain GenAI solutions in cloud environments.

Skills

Generative AI

RAG Frameworks

Python

LLMs / foundation models

Prompt Engineering

Embeddings

Semantic Search

REST APIs

Microservices

Cloud Platforms

Docker

Kubernetes

CI/CD

DevOps

LangChain

LlamaIndex

Vector Databases

Tools

LangChain

LlamaIndex

Pinecone

ChromaDB

Weaviate

FAISS

Azure AI Search

Job description

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

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• Design and implement scalable Generative AI solutions using RAG architectures.


• Develop AI-powered applications leveraging LLMs such as GPT, Claude, Llama, and Gemini.


• Build end-to-end data ingestion, embedding, indexing, retrieval, and response-generation pipelines.


• Develop and optimize prompt engineering strategies for improved model performance.


• Integrate vector databases and semantic search capabilities into AI applications.


• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.


• Monitor, evaluate, and improve model accuracy, relevance, latency, and cost efficiency.


• Implement security, governance, and Responsible AI best practices.


• Deploy and maintain GenAI solutions in cloud environments.

Required Skills

• Strong experience with Generative AI and RAG Frameworks.


• Expertise in Python programming.


• Hands-on experience with LangChain, LlamaIndex, or similar orchestration frameworks.


• Experience working with LLMs and foundation models.


• Knowledge of Prompt Engineering and AI model evaluation.


• Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search.


• Strong understanding of Embeddings, Semantic Search, and Information Retrieval techniques.


• Experience with REST APIs, Microservices, and Cloud Platforms (Azure, AWS, or GCP).


• Familiarity with Docker, Kubernetes, CI/CD, and DevOps practices.

Preferred Qualifications

• Experience with AI Agents and Agentic AI frameworks.


• Exposure to GraphRAG, Knowledge Graphs, and Advanced Retrieval Techniques.


• Experience in MLOps and AI Governance.


• Knowledge of Responsible AI and Model Monitoring frameworks.

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.