Senior Java Developer with AI Experience
Glint Tech Solutions- Location
- Chicago, United States
- Workplace
- Hybrid
- Employment
- —
- Salary
- —
Posted 1mo ago
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
Skills
- Java
- Generative AI
- Spring Boot
- Apache Camel
- AWS
- LLM
- Retrieval-Augmented Generation
- Embeddings
- EC2
- S3
- RDS
- VPC
- CloudFront
- AWS Lambda
- EKS
- ECS
- API Gateway
- DynamoDB
- DocumentDB
- Prompt Engineering
- Dynatrace
- ELK Stack
- AWS CloudWatch
- Twilio
- LLMOps
- MLOps
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