Agentic AI/AI Engineer - Generative AI & Machine Learning

hudsonmanpower; Schaumburg (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

hudsonmanpower is seeking a motivated AI Engineer to join their innovative team in Schaumburg, Illinois. The successful candidate will develop applications utilizing Generative AI and traditional Machine Learning while working extensively with Large Language Models (LLMs).

This role requires strong expertise in Python and SQL, alongside experience in GCP and AWS services.

If you are passionate about cutting-edge technologies and thrive in a fast-paced environment, apply to be part of our journey in AI advancements.

Qualifications

• Minimum of 2-3 years of professional experience in AI or Machine Learning engineering.
• Proficiency in Python for backend development and machine learning.
• Solid experience with React for frontend development.

Responsibilities

• Develop, maintain, and enhance applications using Generative AI and Machine Learning.
• Work with Large Language Models (LLMs) to build AI-powered features.
• Collaborate with stakeholders to translate business requirements into technical specifications.

Skills

Generative AI

Machine Learning

Python

SQL

React

GCP

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Amazon Web Services (AWS)

MS SQL Server

MySQL

Google Cloud Platform (GCP)

Job description

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 (GCP) 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.

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.

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 GCP AI/ML services, including BigQuery, Google SQL and other technologies and APIs within GCP.
• 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 GCP for applications hosted/deployed.
• Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production.