Java Developer with AI

• Design and implement core services for the enterprise Notifications platform, including APIs, event-driven integrations, orchestration components, templates, and platform capabilities.
• Write, review, debug, and optimize production code; lead through hands-on engineering contribution.
• Build cloud-native backend services using Java, Spring Boot, Apache Camel, microservices, containers, and AWS services.
• Develop and integrate AI/GenAI capabilities, including prompt design, LLM integration, RAG pipelines, embeddings/vector search, semantic search, classification, summarization, and AI-assisted communication workflows.
• Prototype, validate, and productionize AI-enabled features with attention to latency, accuracy, cost, monitoring, fallback design, and reliability.
• Design for high availability, scalability, resiliency, observability, performance, security, privacy, and compliance.
• Integrate with enterprise systems, eventing platforms, data providers, communication providers, and vendor-managed services.
• Troubleshoot and resolve complex production issues including performance, integration, data, and reliability concerns.
• Collaborate with architects, product owners, stakeholders, development teams, and vendors to convert requirements into working solutions.
• Contribute to technical design, documentation, code reviews, automated testing, CI/CD, release readiness, and production support.
• Ensure alignment with enterprise engineering standards, security expectations, and application lifecycle practices.
• Mentor developers through code-level guidance and design reviews while delivering hands-on work.

We are seeking a Java Developer - Notifications Platform & AI Engineering to join our dynamic team. The ideal candidate will have strong experience in Java backend development, event-driven integrations, AWS cloud, and applied AI/GenAI and a proven ability to design, build, deploy, and support production-grade notification platform services and AI-enabled communication capabilities., * Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent work experience.

• 8+ years of software engineering and SDLC delivery experience.
• 8+ years of hands-on Java backend development with Spring Boot, REST APIs, microservices, and open-source technologies.
• 3+ years with event-driven systems, messaging, streaming, integration, or notification platforms.
• Hands-on experience with Apache Camel or similar enterprise integration frameworks.
• 4+ years with AWS or equivalent cloud services such as EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, or AmazonMQ.
• Proven AI/GenAI implementation in production applications, including LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, or workflow automation.
• Understanding of responsible and secure AI practices including data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review, and auditability.
• Experience with observability and analytics tools such as Dynatrace, ELK Stack, or CloudWatch.
• Experience in agile environments with CI/CD, automated testing, code quality, deployment readiness, and production support.
• Knowledge of version control, packaging, release management, secure coding, and operational readiness.
• Strong analytical and problem-solving skills with ability to diagnose complex issues independently.
• Self-motivated and collaborative with effective communication to technical and non-technical stakeholders.

Preferred Skills:

• Experience designing and developing enterprise notification, communication, messaging, content management, or eventing platforms.
• Experience with Twilio or similar communication platforms.
• Applied AI for communication use cases such as personalization, routing, prioritization, content quality checks, template assistance, intent classification, summarization, or anomaly detection.
• Experience with AI observability, LLMOps/MLOps, model and prompt evaluation, guardrails, and production monitoring of AI features.
• AWS or equivalent cloud certification.
• Experience in high-scale, 24x7 production environments.
• Experience in airline, travel, customer platforms, or crew operations domains.

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.