Generative AI Engineer

Valiant Technologies LLC; Phoenix (AZ); On-site; USD 92,000 - 131,000; Full time

Job summary

Valiant Technologies LLC in Phoenix, AZ seeks a Generative AI Engineer to design scalable GenAI solutions and build end-to-end pipelines using RAG architectures. You will work with PLMs and LLMs across cloud platforms, balancing latency, cost, and accuracy while implementing governance and security practices.

The role requires strong Python skills, hands-on orchestration with LangChain/LlamaIndex, and experience with vector databases and embedding techniques.

Qualifications

• Experience designing scalable Generative AI solutions using RAG architectures.
• Proficiency in Python programming.
• Hands-on experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Experience 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.

Responsibilities

• Design scalable Generative AI solutions using RAG architectures.
• Develop AI-powered applications leveraging LLMs like 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 into AI apps.
• Collaborate with cross-functional teams to translate business requirements into AI 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

LangChain

LlamaIndex

LLMs

Embeddings

Vector Databases

REST APIs

Cloud Platforms

Docker

Kubernetes

Tools

LangChain

LlamaIndex

Pinecone

ChromaDB

Weaviate

FAISS

Azure AI Search

Docker

Kubernetes

CI/CD

Job description

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

Job Title: Generative AI Engineer
Location: Phoenix, AZ
Duration: 8 Months + Extension
Bill Rate: $81/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 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.