AI Engineer(Java)

Propertyvalue Quantum Technologies Llc

United States

3 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$145,600.0 - $162,240.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Testing (Software) Java (Programming Language) Artificial Intelligence Code Review Continuous Integration Relational Databases DevOps Python (Programming Language) Machine Learning Enterprise Messaging Systems Natural Language Processing Performance Tuning

+20 more

Standard Sql Software Engineering Systems Integration Management of Software Versions Workflow Management Systems Java Application Server Enterprise Software Applications Retrieval-Augmented Generation Large Language Models Prompt Engineering Spring-boot Generative AI Backend Agentic-AI Apache Kafka Machine Learning Operations Evaluation of Large Language Models Restful APIs Document Classification Microservices

Job description

Design and develop scalable backend applications and services using Java and Spring Boot.
Build event-driven and distributed services using Kafka, REST APIs, and microservices architecture.
Integrate NLP, Machine Learning, and LLM capabilities into Java-based enterprise applications.
Develop NLP solutions for text classification, clustering, intent detection, and related use cases.
Design and deploy LLM workflows involving prompt engineering, LLM evaluation, and RAG.
Develop integrations between Java applications and Python-based AI/ML or model-serving services.
Contribute to agentic AI workflows, including multi-step interactions, tool execution, validation, and workflow orchestration.
Apply production engineering practices covering scalability, resiliency, security, testing, monitoring, and performance optimization.
Contribute to LLMOps/MLOps practices, including evaluation, monitoring, versioning, deployment, and lifecycle management.
Collaborate with AI/ML, Product, Platform, Data, and DevOps teams.
Participate in architecture reviews, code reviews, technical planning, and production support.
Mentor junior and offshore engineers and promote engineering best practices.

Requirements

10+ years of total technology/software engineering experience.
Strong hands-on backend development experience with Java.
Strong experience with Spring Boot, REST APIs, and Microservices.
Experience with Kafka or comparable event-driven messaging technologies.
Practical experience implementing or integrating AI/ML capabilities into production applications.
Experience with NLP use cases such as text classification and clustering.
Experience integrating ML models, NLP services, or LLM-based capabilities with enterprise applications.
Hands-on experience with:
Prompt Engineering
LLM Evaluation
Retrieval-Augmented Generation (RAG)
Strong SQL and relational database experience.
Experience with software testing, CI/CD, security, monitoring, and production support.
Strong communication and cross-functional collaboration skills.