Lead AI Engineer (Google Cloud Platform)

Whiztek Corp; Schaumburg (IL); Híbrido; USD 83 000 - 165 000; Tempo parcial

Resumo da oferta

Whiztek Corp in Schaumburg, IL is seeking a Lead Agentic AI/AI Engineer to advance Generative AI and traditional ML, migrate and enhance AI projects, and build intelligent agents using LLMs.

The role entails full‑stack work with Python backend and React frontend, SQL data analysis across MS SQL Server and MySQL, and deployment on Google Cloud Platform.

Qualificações

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2-3 years of professional AI/ML engineering experience.
• Experience with Python and backend/frontend development.

Responsabilidades

• Develop, maintain, and enhance AI/ML applications using Generative AI and traditional ML.
• Work with LLMs to build AI-powered features.
• Design and deploy intelligent agents to automate processes.
• Translate business requirements into technical AI specs.
• Lead migration of projects to Google Cloud Platform.

Conhecimentos

Python

LLMs

Agent-based systems

React

SQL

Google Cloud Platform

MCP

RAG

Semantic search

Formação académica

Bachelor's degree in Computer Science or related

Ferramentas

Google Cloud Platform

BigQuery

MS SQL Server

MySQL

AWS

Descrição da oferta de emprego

Role: Lead Agentic AI/AI Engineer - Generative AI & Machine Learning

Location: Schaumburg, IL - Hybrid - (3days/week onsite)

Duration: Long-term Contract

Job Summary:

We are seeking a highly motivated and adaptable AI Engineer to join our innovative team. The ideal candidate will have a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. You will play a key role in migrating and enhancing our AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents. This is an exciting opportunity for a forward-thinking engineer who is passionate about experimenting with cutting-edge technologies and evolving in a fast-paced environment.

Key Responsibilities:

• Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
• Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
• Design, create, and deploy intelligent agents to automate and optimize processes.
• Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
• Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
• Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (Google Cloud Platform) environment.
• Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces.
• Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role.
• Experience with Python is a must.
• Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems.
• Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
• Strong proficiency in Python for backend development and machine learning.
• Solid experience with React for frontend development.
• Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
• Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and other technologies and APIs within Google Cloud Platform.
• Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
• Experience in taking over existing AI/ML applications from other teams.
• Estimate at a high-level cost of usage in Google Cloud Platform for applications hosted/deployed
• Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production

Other Qualifications:

• Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
• A portfolio of projects demonstrating your expertise in AI and full-stack development