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Ai Engineer

Posted on: Nov 13, 2026

Cortex consultants LLC
Chicago, Illinois
Onsite
Full-time

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Job Title :

Ai Engineer

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

Job Description :

AI Engineer

Chicago, IL

Job Summary

We are looking for a passionate AI Engineer to design, build, and deploy intelligent AI-powered applications and solutions. The ideal candidate should have strong Python development skills, experience with cloud platforms, and a solid understanding of machine learning and modern AI technologies, including Large Language Models (LLMs). The role offers an opportunity to work across the AI lifecycle, from model integration and application development to deployment and optimization.

Required Skills & Qualifications

5+ years of professional experience in software development or AI application development.
Strong proficiency in Python and software engineering best practices.
Hands-on experience with any major cloud platform (AWS, Azure, or GCP).
Understanding of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs).
Experience working with APIs, SDKs, and integrating AI services into business applications.
Good understanding of data processing, prompt engineering, and AI application workflows.
Strong analytical, problem-solving, and debugging skills.
Excellent communication and collaboration abilities.

Roles & Responsibilities

Design, develop, test, and deploy AI-powered applications and intelligent automation solutions.
Build and integrate AI/ML models, LLMs, and cloud-based AI services into enterprise applications.
Collaborate with product managers, architects, data scientists, and engineering teams to define and implement AI solutions.
Develop scalable APIs and services that enable seamless integration of AI capabilities with existing systems.
Work on AI solution components such as prompt engineering, knowledge retrieval, agent workflows, and model orchestration.
Evaluate, experiment with, and adopt emerging AI technologies, frameworks, and tools.
Optimize AI applications for performance, scalability, reliability, and cost efficiency.
Write clean, maintainable, and reusable code following engineering best practices.
Troubleshoot, debug, and resolve issues across development and production environments.
Develop unit tests and contribute to CI/CD processes to ensure high-quality software delivery.
Participate in code reviews, architecture discussions, and technical knowledge-sharing sessions.

Good to Have Skills & Experience

Experience with Retrieval-Augmented Generation (RAG) architectures and implementations.
Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar.
Exposure to Agentic AI concepts, multi-agent systems, and AI workflow automation.
Experience with vector databases and knowledge retrieval platforms.
Understanding of MLOps, model deployment, monitoring, and governance practices.
Knowledge of RESTful APIs and microservices architecture.
Familiarity with cloud-native services such as Cloud Storage, Functions, Containers, Kubernetes, Logging, and Monitoring.
Exposure to data engineering concepts, including data pipelines and ETL/ELT workflows.
Experience with Git, CI/CD pipelines, and DevOps practices.

Position Details

Posted:

Nov 13, 2026

Reference Number:

5450-4141

Employment:

Full-time

City:

Chicago

Job Origin:

CIEPAL_ORGANIC_FEED

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AI Engineer

Chicago, IL

Job Summary

Required Skills & Qualifications

5+ years of professional experience in software development or AI application development.
Strong proficiency in Python and software engineering best practices.
Hands-on experience with any major cloud platform (AWS, Azure, or GCP).
Understanding of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs).
Experience working with APIs, SDKs, and integrating AI services into business applications.
Good understanding of data processing, prompt engineering, and AI application workflows.
Strong analytical, problem-solving, and debugging skills.
Excellent communication and collaboration abilities.

Roles & Responsibilities

Design, develop, test, and deploy AI-powered applications and intelligent automation solutions.
Build and integrate AI/ML models, LLMs, and cloud-based AI services into enterprise applications.
Collaborate with product managers, architects, data scientists, and engineering teams to define and implement AI solutions.
Develop scalable APIs and services that enable seamless integration of AI capabilities with existing systems.
Work on AI solution components such as prompt engineering, knowledge retrieval, agent workflows, and model orchestration.
Evaluate, experiment with, and adopt emerging AI technologies, frameworks, and tools.
Optimize AI applications for performance, scalability, reliability, and cost efficiency.
Write clean, maintainable, and reusable code following engineering best practices.
Troubleshoot, debug, and resolve issues across development and production environments.
Develop unit tests and contribute to CI/CD processes to ensure high-quality software delivery.
Participate in code reviews, architecture discussions, and technical knowledge-sharing sessions.

Good to Have Skills & Experience

Experience with Retrieval-Augmented Generation (RAG) architectures and implementations.
Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar.
Exposure to Agentic AI concepts, multi-agent systems, and AI workflow automation.
Experience with vector databases and knowledge retrieval platforms.
Understanding of MLOps, model deployment, monitoring, and governance practices.
Knowledge of RESTful APIs and microservices architecture.
Familiarity with cloud-native services such as Cloud Storage, Functions, Containers, Kubernetes, Logging, and Monitoring.
Exposure to data engineering concepts, including data pipelines and ETL/ELT workflows.
Experience with Git, CI/CD pipelines, and DevOps practices.

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