Our Client Currently looking for AI/ML Backend Engineer – Java
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
Ideal Candidate :
– Must have 4+ years of experience in production-grade backend engineering experience in Java and Spring Boot, designing scalable enterprise services and microservices (development roles, not support/maintenance)
– Must have significant hands-on AI integration experience as a core part of recent work building Java services that integrate with AI platforms (AWS Bedrock, Azure OpenAI / AI Foundry, Google Vertex AI, OpenAI or Anthropic APIs) at the SDK/API level.
– Must have proven experience building SaaS / cloud-native applications with strong REST API and microservices architecture expertise.
– Must have strong SDLC and quality engineering discipline unit/integration testing and CI/CD (GitHub Actions, Jenkins or similar).
– Must have experience with event streaming / event-driven architecture (Kafka, Kinesis, Event Hub or Pub/Sub).
– Experience with AI evaluation/testing or LLM eval frameworks (RAGAS, TruLens, DeepEval), AI risk scoring, or evaluation pipelines.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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