AI/ML Backend Engineer (Java)

In this role as a Senior Java + AI Platform Engineer, you will be working on strategic enterprise initiatives focused on building scalable AI Governance, Observability, and Compliance platforms. Your expertise in Java backend engineering, distributed systems, AI integrations, telemetry pipelines, and cloud-native architectures will be crucial in designing scalable enterprise-grade platforms capable of monitoring, governing, and securing AI interactions across large-scale enterprise environments. Key Responsibilities: - Design and build pluggable evaluator services using Java and Spring Boot - Develop scalable SaaS/cloud-native backend services and microservices - Integrate with AI platforms including AWS Bedrock, Azure AI Foundry, Google Vertex AI, OpenAI, and Anthropic APIs - Build orchestration frameworks and schedulers for evaluation execution workflows - Develop AI risk scoring systems and evaluation pipelines - Design and implement telemetry, monitoring, and observability solutions - Build dashboards and reporting systems for evaluation results and governance insights - Develop integrations/connectors for cloud-native event streams and event-driven architectures - Collaborate with cross-functional engineering teams in an Agile sprint environment - Participate in code reviews, CI/CD setup, and quality engineering practices - Ensure adherence to software development lifecycle and engineering best practices In addition to the key responsibilities, the ideal candidate for this role should possess the following qualifications: - Must have 4+ years of experience in production-grade backend engineering with Java and Spring Boot - Significant hands-on AI integration experience with platforms such as AWS Bedrock, Azure AI Foundry, Google Vertex AI, OpenAI, or Anthropic APIs - Proven experience in building SaaS/cloud-native applications with strong REST API and microservices architecture expertise - Strong SDLC and quality engineering discipline including unit/integration testing and CI/CD - Experience with event streaming/event-driven architecture (Kafka, Kinesis, Event Hub, or Pub/Sub) - Preferred experience in AI evaluation/testing, AI risk scoring, or evaluation pipelines - Cloud certifications (AWS, Azure, or GCP) and knowledge of orchestration frameworks (Quartz, Spring Batch) Your skills in artificial intelligence, integration, platforms, AWS, enterprise, Java, Boot, cloud, Spring, and Azure will be valuable assets in this role. In this role as a Senior Java + AI Platform Engineer, you will be working on strategic enterprise initiatives focused on building scalable AI Governance, Observability, and Compliance platforms. Your expertise in Java backend engineering, distributed systems, AI integrations, telemetry pipelines, and cloud-native architectures will be crucial in designing scalable enterprise-grade platforms capable of monitoring, governing, and securing AI interactions across large-scale enterprise environments. Key Responsibilities: - Design and build pluggable evaluator services using Java and Spring Boot - Develop scalable SaaS/cloud-native backend services and microservices - Integrate with AI platforms including AWS Bedrock, Azure AI Foundry, Google Vertex AI, OpenAI, and Anthropic APIs - Build orchestration frameworks and schedulers for evaluation execution workflows - Develop AI risk scoring systems and evaluation pipelines - Design and implement telemetry, monitoring, and observability solutions - Build dashboards and reporting systems for evaluation results and governance insights - Develop integrations/connectors for cloud-native event streams and event-driven architectures - Collaborate with cross-functional engineering teams in an Agile sprint environment - Participate in code reviews, CI/CD setup, and quality engineering practices - Ensure adherence to software development lifecycle and engineering best practices In addition to the key responsibilities, the ideal candidate for this role should possess the following qualifications: - Must have 4+ years of experience in production-grade backend engineering with Java and Spring Boot - Significant hands-on AI integration experience with platforms such as AWS Bedrock, Azure AI Foundry, Google Vertex AI, OpenAI, or Anthropic APIs - Proven experience in building SaaS/cloud-native applications with strong REST API and microservices architecture expertise - Strong SDLC and quality engineering discipline including unit/integration testing and CI/CD - Experience with event streaming/event-driven architecture (Kafka, Kinesis, Event Hub, or Pub/Sub) - Preferred experience in AI evaluation/testing, AI risk scoring, or evaluation pipelines - Cloud certifications (AWS, Azure, or GCP) and knowledge of orchestration frameworks (Quartz, Spring Batch) Your skills in artificial intelligence, integration, platforms, AWS, enterprise, Java, Boot, cloud, Spring, and Azure will be valuable assets in this role.