Senior Java Developer with AI Experience
Skills
About the role
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
Key Responsibilities
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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