Request ID:71009-1
Title: Java + AI Engineer
Locations: Chicago, IL
Duration: 6 Months
Experience Requested: 7+ Years
Pay Range: $45.00-53.00/Hour on W2 (All inclusive) -
Applicant must be willing to work on W2.
We are seeking a
Java + AI Engineer
to design, develop, and deploy
AI/ML and Generative AI solutions , including LLM-based applications, RAG pipelines, predictive models, and AI agents. The ideal candidate will translate business requirements into production-ready AI solutions while ensuring scalability, security, and compliance.
Key Responsibilities:
Design, develop, and deploy
Generative AI/ML solutions , including LLM-based applications, retrieval-augmented generation (RAG) pipelines, embeddings, and AI agents.
Translate business use cases into
production-ready AI solutions
with measurable outcomes.
Implement
LLM orchestration, prompt engineering, vector search, 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.
Required Skills:
Experience in
software engineering, ML engineering, or AI solution development .
Strong proficiency in
Java , including
Java Streams .
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
(GCP preferred; AWS/Azure acceptable).
Familiarity with
Docker, Kubernetes, and CI/CD pipelines .
Strong problem-solving, communication, and stakeholder collaboration skills.
Preferred Skills:
Experience with
MLOps/LLMOps frameworks .
Knowledge of enterprise AI governance and compliance standards.
Exposure to