AI/ML Backend Engineer - Java

Role Overview: You will be a Senior Java + AI Platform Engineer working on strategic enterprise initiatives to develop 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 for designing scalable 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 various AI platforms such as 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 - Create 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 Qualifications Required: - 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 REST API and microservices architecture expertise - Strong SDLC and quality engineering discipline including unit/integration testing and CI/CD using tools like GitHub Actions, Jenkins, or similar - Experience with event streaming/event-driven architecture using technologies like Kafka, Kinesis, Event Hub, or Pub/Sub Company Information: Omit this section as there are no additional details about the company provided in the job description. Role Overview: You will be a Senior Java + AI Platform Engineer working on strategic enterprise initiatives to develop 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 for designing scalable 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 various AI platforms such as 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 - Create 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 Qualifications Required: - 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 REST API and microservices architecture expertise - Strong SDLC and quality engineering discipline including unit/integration testing and CI/CD using tools like GitHub Actions, Jenkins, or similar - Experience with event streaming/event-driven architecture using technologies like Kafka, Kinesis, Event Hub, or Pub/Sub Company Information: Omit this section as there are no additional details about the company provided in the job description.