Lead AI Engineer

Overview

Remote
$60 - $65
Accepts corp to corp applications
Contract - Independent
Contract - 6 Month(s)

Skills

Google Cloud Platform
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Good Clinical Practice
Data Engineering
Data Science
Data Warehouse
Debugging
Java
API
Analytical Skill
Artificial Intelligence
Cloud Computing
Data Analysis
ELT
LangChain
Orchestration
Prompt Engineering
PySpark
Python
Reporting
Scripting
Stacks Blockchain
Storage
Transcription
Unstructured Data
Vector Databases

Job Details

Description

Primary skills : Gemini AI experience, AI multi cloud experience, Experience in running AI services, cursor coding experience

  • Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stacks.
  • Experience with Data Science techniques.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
  • Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java
  • Ability to build API based scalable solutions and debug & troubleshoot software or design issues
  • Hands on exposure to integrating with Gemini Pro 1.x using API endpoints.
  • Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS
  • Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market
  • Basic data engineering skills to load structured & unstructured data from source systems to target data stores
  • Work closely with Gen AI leads and other team members to address requirements from the product backlog
  • Build and maintain data pipelines and infrastructure to support AI Solutions.
  • Hands on exposure to using Google Cloud Platform services for storage, serverless-logic, search, transcription, and chat.
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