Agentic AI/AI Engineer – Generative AI & Machine Learning

NLP PEOPLE; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

Source Code Technologies LLC in Chicago, IL, seeks an Agentic AI/AI Engineer with 5+ years of experience to advance Generative AI and ML projects onsite for 6 months+.

The role focuses on migrating applications to Google Cloud, building intelligent agents, and leveraging LLMs, with a strong emphasis on Python backend and React frontend development.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 2–3 years of AI/ML engineering experience.
• Proficiency in Python for backend development.
• Experience with MCP, RAG, Semantic search, Generative AI, LLMs, and agent-based systems.
• Familiarity with GCP AI/ML services including BigQuery and Google SQL.
• Knowledge of AWS and current AI trends.

Responsibilities

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

Skills

Python

React

SQL

LLMs

Generative AI

Agent-based systems

Google Cloud Platform

Cloud migration

MCP

RAG

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

MS SQL Server

MySQL

BigQuery

Google Cloud Platform APIs

Job description

Looking 6+ Years of experience Position: Agentic AI/AI Engineer – Generative AI & Machine Learning Location: Chicago, IL (5 days onsite) Position Type: 6 months+ Exp: 6+ yrs of exp 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.
• Minimum 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.

Company:

Source Code Technologies LLC

Senior (5+ years of experience)

Tagged as: Data Analysis, Industry, Language Modeling, Machine Learning, NLP, United States