Java + AI Engineer
Artech Information Systems LLC
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:
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.
- 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.
- Experience with MLOps/LLMOps frameworks .
- Knowledge of enterprise AI governance and compliance standards.
- Exposure to cross-functional agile teams and production AI deployment environments.
Vacancy posted 1 day ago
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