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Senior Java Developer with AI Experience

  • Senior Java Developer with AI Experience job type Posted on: Nov 12, 2026
  • Senior Java Developer with AI Experience experience level Glint Tech Solutions LLC
  • Senior Java Developer with AI Experience employment type Chicago, Illinois
  • Senior Java Developer with AI Experience employment type Onsite
  • Senior Java Developer with AI Experience salary Full-time

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Job Title :

Senior Java Developer with AI Experience

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Job 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

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

85092dfd

Employment:

Full-time

City:

Chicago

Job Origin:

ziprecruiter

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Job Description

Job 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

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