AI Engineer

Chicago, IL, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Artificial Intelligence
  • Java
  • Docker
  • Kubernetes
  • Continuous Delivery
  • Continuous Improvement
  • Cloud Computing
  • Data Science

Summary

Job Title: AI Engineer

Location: Chicago, IL

Type: Fulltime Position

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 / LLMOps 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: 91137892
  • Position Id: 8933659
  • Posted 2 hours ago
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