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AI Engineer

Chicago, IL, US • Posted 20 days ago • Updated 22 hours ago

Full Time

On-site

$100,000 - $120,000/yr

Fitment

Dice Job Match Score™

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Job Details

Skills

Artificial Intelligence
AI
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Java
Kubernetes
Orchestration
Prompt Engineering
Google Cloud Platform
Data Science
Data Engineering
Software Engineering
Microservices
Microsoft Azure
NoSQL
Continuous Delivery
Continuous Integration
Docker
Amazon Web Services
SQL
Use Cases
Performance Tuning
Continuous Improvement
Cloud Computing

Summary

Job Role: AI Engineer

Location: Chicago, IL

Job Description:

Must Have Technical/Functional Skills

4 8+ years of experience in software engineering, ML engineering, or AI solution development
Strong proficiency in Java and experience
Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
Experience deploying AI solutions on cloud platforms (Google Cloud Platform preferred; AWS/ Azure acceptable)
Familiarity with Docker, Kubernetes, and CI/CD pipelines
Strong problem solving, communication, and stakeholder collaboration skills

Roles & Responsibilities

We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.

________________________________________

Key Responsibilities

Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
Translate business use cases into production ready AI solutions with measurable outcomes
Deep knowledge in Java streams technology
Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
Implement MLOps / LLM Ops practices including CI/CD, monitoring, versioning, model governance, and observability
Ensure Responsible AI, security, compliance, and data privacy by design
Support production deployments, performance tuning, and continuous improvement of AI systems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10217521
Position Id: 8935646
Posted 20 days ago

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