Senior Java with AI Experience

Goldenpick Technologies; Chicago (IL); On-site; USD 140,000 - 200,000; Full time

Job summary

Goldenpick Technologies in Chicago is seeking a Senior Java engineer with extensive AI experience for an on-site role. Local Chicago-based candidates only.

You will focus on hands-on backend development using Java, Spring Boot, REST APIs and microservices, while integrating AWS services and enterprise AI capabilities. The role emphasizes practical coding, debugging, design and delivering working software, with strong emphasis on observability, CI/CD, secure coding, and collaboration with

Qualifications

• 8+ years of software engineering, application development, integration, and SDLC delivery.
• Hands-on Java backend development with Spring Boot, REST, microservices, and open-source tech.
• 3+ years of event-driven systems, messaging, streaming, integration, or notification platforms.
• Hands-on Apache Camel or equivalent enterprise integration frameworks.
• 4+ years of AWS or similar cloud services (EC2, S3, RDS, VPC, Lambda, etc.).
• Hands-on AI/GenAI implementation in production-grade apps; not just strategy.
• Knowledge of responsible AI, data privacy, guardrails, auditability and secure AI practices.
• Experience with observability/analytics tools (Dynatrace, ELK, CloudWatch).
• CI/CD, automated testing, code quality, deployment readiness, production support.

Skills

Java

Spring Boot

REST APIs

Microservices

Event-driven

AWS

AI/GenAI

CI/CD

Observability

Security

Agile

Collaboration

Tools

Dynatrace

ELK Stack

CloudWatch

Kubernetes

Job description

Senior Java with AI Experience

Location - Chicago, Illinois, US (On site role 3 days per week)

Local Chicago based candidates only

Must have

• 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.

Preferred Qualifications

• Experience designing and developing enterprise notification, communication, customer messaging, content management, or eventing platform solutions.
• Experience with Twilio or similar communication/messaging platforms.
• Experience applying AI to communication use cases such as personalization, routing, prioritization, content quality checks, template assistance, intent classification, summarization, or operational anomaly detection.
• Experience with AI observability, LLMOps/MLOps practices, model/prompt evaluation, AI guardrails, and production monitoring of AI-enabled features.
• AWS certification or equivalent cloud certification.
• Experience in high-scale, 24x7 production environments.