Lead AI Engineer

NLP PEOPLE; Schaumburg (IL); Hybrid; USD 90,000 - 120,000; Full time

Job summary

NLP PEOPLE is seeking a Lead Agentic AI Engineer to join their innovative team in Schaumburg, IL. The successful candidate will have strong experience in Generative AI and traditional Machine Learning, capable of developing and enhancing AI-driven applications.

This hybrid role requires collaboration with various stakeholders to automate processes using Large Language Models. Ideal candidates will possess solid programming skills in Python and experience with cloud platforms, driving the evolution of AI technologies.

Qualifications

• 2-3 years of experience in AI or Machine Learning engineering.
• Hands-on experience with Google Cloud AI/ML services.
• Proficiency in SQL for data manipulation.

Responsibilities

• Develop and enhance applications using Generative AI and Machine Learning.
• Build AI-powered features with Large Language Models.
• Design and deploy intelligent agents for process optimization.

Skills

Python programming

Generative AI

Machine Learning

SQL

React

Google Cloud Platform

Education

Bachelor's degree in Computer Science

Tools

MS SQL Server

MySQL

Google Cloud AI/ML services

Amazon Web Services (AWS)

Job description

Company

Whiztek Corp

Role

Lead Agentic AI Engineer

Location

Schaumburg, IL – Hybrid – (3 days/week onsite)

Contract

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 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.

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.