Senior Java with AI Experience

Skills

• Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent work experience required. • Minimum 8 years of overall experience in software engineering, application development, integration, and SDLC delivery. • Strong recent hands-on software development experience; candidate must be comfortable spending majority of time coding, debugging, designing, and delivering working software. • Minimum 8 years of hands-on Java backend development experience, including Spring Boot, REST APIs, microservices, and open-source technologies. • Minimum 3 years of hands-on experience with event-driven systems, messaging, streaming, integration, or notification platform capabilities. • Hands-on experience with Apache Camel or equivalent enterprise integration frameworks. • Minimum 4 years of hands-on experience with AWS or equivalent cloud services such as EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ, or related services. • Strong hands-on AI/GenAI implementation experience in enterprise or production-grade applications; AI experience should not be limited to strategy, vendor discussions, or conceptual understanding. • Practical experience involves personally implementing one or more AI capabilities such as LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, AI-assisted workflow automation, or decision-support capabilities. • Understanding responsible AI and secure AI engineering practices, including data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review where needed, and auditability. • Experience with observability and analytics tools such as Dynatrace, ELK Stack, CloudWatch, or equivalent tools. • Experience working in agile delivery environments where CI/CD, automated testing, code quality, deployment readiness, and production support are critical. • Demonstrated knowledge of software engineering best practices such as version control, software packaging, release management, automated testing, secure coding, and operational readiness. • Strong analytical and problem-solving skills with ability to diagnose complex technical issues independently. • Must be self-motivated, collaborative, and able to communicate effectively with technical and non-technical stakeholders. What will help you propel from the pack (Preferred Qualifications): • Experience designing and developing enterprise notification, communication, customer messaging, content management, or eventing platform solutions. • Experience with Twilio or similar communication/messaging platforms. • Experience applying AI to communication use cases such as personalization, routing, prioritization, content quality checks, template assistance, intent classification, summarization, or operational anomaly detection. • Experience with AI observability, LLMOps/MLOps practices, model/prompt evaluation, AI guardrails, and production monitoring of AI-enabled features. • AWS certification or equivalent cloud certification. • Experience in high-scale, 24x7 production environments.