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Open nowFirst seen 44 hours ago

Senior Java Developer with AI Experience

Glint Tech Solutions LLC139 open roles

Where
Chicago, Illinois, United States
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Your applicationOpen nowSenior Java Developer with AI ExperienceGlint Tech Solutions LLC · Chicago, Illinois, United States

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Glint Tech Solutions LLC's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 44 hours ago

The posting

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
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