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Glint Tech Solutions LLC

via Manatal

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Senior Java Developer with AI Experience

Chicago, Illinois
Full-time
Posted 7/24/2026
Direct Apply
Key Skills:
Java
Spring Boot
AI/GenAI
AWS
Microservices

Compensation

Salary Range

$80K - 130K a year

Responsibilities

Design and develop core services for an enterprise notifications platform using Java and cloud-native technologies, including AI/GenAI capabilities.

Requirements

Bachelor's degree and over 8 years of Java backend development experience with AWS and AI/GenAI implementation.

Full Description

Job Title: Senior Java Developer with AI Experience Location: Chicago, Illinois (Hybrid – 3 days/week onsite, locals only) Company Overview Glint Tech Solutions is a women-owned global IT staffing and recruiting firm serving clients across the USA and Canada. We connect top-tier technical talent with leading enterprise organizations. Project Description Our client, a leading enterprise organization, is seeking a Senior Java Developer with hands-on AI/GenAI experience to join its Digital Technology team supporting the enterprise Notifications platform. This is a hands-on senior individual contributor role focused on designing, developing, and modernizing notification platform services, event-driven integrations, and AI-enabled communication capabilities. This is not a management role — the expectation is active coding, debugging, and production delivery. Key Responsibilities Design and implement core services for the enterprise Notifications platform, including APIs, event-driven integrations, and orchestration components Write, review, debug, and optimize production code hands-on Build cloud-native backend services using Java, Spring Boot, Apache Camel, microservices, and AWS Develop and integrate AI/GenAI capabilities including prompt design, LLM integration, RAG pipelines, embeddings/vector search, semantic search, classification, and summarization Prototype, validate, and productionize AI features, factoring in latency, accuracy, cost, and reliability Design for high availability, scalability, resiliency, observability, and security Support integrations with internal systems, eventing platforms, and vendor-managed services Troubleshoot complex production issues including performance and integration failures Collaborate with architects, product owners, and stakeholders to convert requirements into working solutions Contribute to technical design, code reviews, automated testing, and CI/CD practices Mentor developers through code-level guidance while remaining primarily hands-on Mandatory Skills Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience 8+ years overall software engineering and SDLC delivery experience 8+ years hands-on Java backend development (Spring Boot, REST APIs, microservices) 3+ years hands-on experience with event-driven systems, messaging, or notification platforms Hands-on experience with Apache Camel or equivalent integration frameworks 4+ years hands-on AWS experience (EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ) Strong hands-on AI/GenAI implementation experience in production-grade applications Practical experience with LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, or AI-assisted workflow automation Understanding of responsible AI and secure AI practices — data privacy, guardrails, evaluation, monitoring, auditability Experience with observability tools (Dynatrace, ELK Stack, CloudWatch) Experience in agile delivery environments with CI/CD, automated testing, and production support Strong analytical and independent problem-solving skills Effective communication with technical and non-technical stakeholders Nice-to-Have Skills Experience designing enterprise notification, communication, or eventing platform solutions Experience with Twilio or similar communication/messaging platforms Applying AI to communication use cases (personalization, routing, prioritization, intent classification, anomaly detection) AI observability, LLMOps/MLOps practices, model/prompt evaluation AWS certification or equivalent High-scale, 24x7 production environment experience Airline, travel, customer platforms, or crew operations domain experience

This job posting was last updated on 7/24/2026

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