Senior Java Developer with AI Experience

Glint Tech Solutions LLC

  • Chicago, IL
  • 7 days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Apacheunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Backend as a Service (BaaS)unmatched
    • Code Reviewsunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Debugging Skillsunmatched
    • Establish Prioritiesunmatched
    • High Availabilityunmatched
    • Identify Issuesunmatched
    • Javaunmatched
    • Mentoringunmatched
    • Microservicesunmatched
    • Problem Solving Skillsunmatched
    • Production Supportunmatched
    • Production Systemsunmatched
    • Prototypingunmatched
    • REST (Representational State Transfer)unmatched
    • Semantic Searchunmatched
    • Software Development Lifecycle (SDLC)unmatched
    • Software Engineeringunmatched
    • Systems Engineeringunmatched
    • Technical Recruitingunmatched
    • Technical Supportunmatched
    • Technical/Engineering Designunmatched
    • Test Automationunmatched
    • Use Casesunmatched

    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

    Numbers & Facts

    LocationChicago, IL

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