GenAI Engineer

Overview

Remote
$60 - $80
Contract - W2
Contract - 12 Month(s)

Skills

GenAI
Azure AI Search
RAG
LLM
Multimodal Data Integration

Job Details

KPI Partners, A global consulting firm focused on strategy, technology, and digital transformation. We help companies tackle their most ambitious projects and build new capabilities. We provide solutions in Cloud, Data, Application Development & BI spaces.

We enable your growth

At KPI, you can become who you want to be and learn skills that will take you further in your career

Continuously upgrade yourself

Develop as a future leader

Drive cloud enablement around the world

Engineering Excellence

Enhance your engineering expertise with our unique approach

This program gives engineers the opportunity to excel in product and software engineering by learning our industry-leading practices, tools, and technologies to build excellence by enhancing their competencies and skills

Visit to Know more :

Title: GenAI Engineer (RAG/LLM) - 12-Month Contract

Location: 100% Remote PST Time zone

Must Haves: Azure AI Search, Data Processing for RAG, Multimodal Data Integration

Nice to Have: Databricks, Python

Description

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks.

In this role, you will be responsible for developing a comprehensive framework that focuses on data ingestion processes (vector databases and text-to-SQL). This framework will ensure the seamless integration and accessibility of data, which will be consumed by an LLM-based chatbot to optimize and enhance manufacturing processes.

Key Responsibilities:

  • Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications.
  • Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access
  • Process and prepare data to support RAG workflows, ensuring data quality and relevance.
  • Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities.
  • Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance.
  • Ensure the scalability, reliability, and performance of data retrieval in production environments.
  • Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge.

Projects include:

  • Azure AI Search Indexing: Implementing advanced search indexing solutions using Azure AI to enhance data accessibility and retrieval.
  • LLM RAG Chatbot: Support development of chatbot using RAG to improve customer support and interaction.

What we re looking for:

  • Approximately 5 years of experience in Data Science, MLOps, and Data Engineering
  • Proven experience in AI and ML solution implementation, particularly in manufacturing (Nice to have).
  • Proficiency in Python
  • Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems.
  • Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation tasks.
  • Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions.
  • Proficiency in Azure AI, Databricks, and other relevant tools and technologies.
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
  • Experience in developing and deploying scalable ML models in production environments and in a team environment.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
  • Experience in developing and deploying scalable ML models in production environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.