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Senior Java with AI Experience

Goldenpick Technologies LLCChicago, IL🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

This role offers a fantastic opportunity to blend deep Java expertise with cutting-edge AI implementation, driving innovation within a reputable tech company. You'll thrive here if you have a strong background in backend development, cloud technologies, and a passion for building impactful AI-driven solutions. Embrace the flexibility of a hybrid work model and contribute to exciting projects that will elevate your career.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Chicago, IL, United States
Posted
6 weeks ago
DynamoDBMicroservicesSpringSpring BootAPI GatewayAWSELKAgileApacheData PrivacyJavaLLMREST

Job Description

Position - Senior Java with AI Experience
Chicago, Illinois (Hybrid) - 3 days per week onsite - locals only
 
  • Minimum 8 years of overall experience in software engineering, application development, integration, and SDLC delivery.
  • Strong recent hands-on software development experience; candidate must be comfortable spending majority of time coding, debugging, designing, and delivering working software.
  • Minimum 8 years of hands-on Java backend development experience, including Spring Boot, REST APIs, microservices, and open-source technologies.
  • Minimum 3 years of hands-on experience with event-driven systems, messaging, streaming, integration, or notification platform capabilities.
  • Hands-on experience with Apache Camel or equivalent enterprise integration frameworks.
  • Minimum 4 years of hands-on experience with AWS or equivalent cloud services such as EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ, or related services.
  • Strong hands-on AI/GenAI implementation experience in enterprise or production-grade applications; AI experience should not be limited to strategy, vendor discussions, or conceptual understanding.
  • Practical experience involves personally implementing one or more AI capabilities such as LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, AI-assisted workflow automation, or decision-support capabilities.
  • Understanding responsible AI and secure AI engineering practices, including data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review where needed, and auditability.
  • Experience with observability and analytics tools such as Dynatrace, ELK Stack, CloudWatch, or equivalent tools.
  • Experience working in agile delivery environments where CI/CD, automated testing, code quality, deployment readiness, and production support are critical.
  • Demonstrated knowledge of software engineering best practices such as version control, software packaging, release management, automated testing, secure coding, and operational readiness.
  • Strong analytical and problem-solving skills with ability to diagnose complex technical issues independently.
  • Must be self-motivated, collaborative, and able to communicate effectively with technical and non-technical stakeholders.
 

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