LLM Application Engineer

OpenKyber LLC
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Cloud Computing Software Debugging Distributed Systems Python (Programming Language) MongoDB OpenShift Oracle (Applications) Redis Data Streaming Large Language Models
+12 more
Prompt Engineering Spring-boot Backend Event Driven Architecture Kubernetes Apache Flink Apache Kafka Reactive Programming Graphql Restful APIs Stream Processing Microservices

Job description

Job Title: Sr. Backend Engineer (Java + Python + AI-driven - LLM ) Location: Arizona (Local candidates only 2 days onsite per week), Job Description: We are seeking a Senior Backend Engineer with strong experience in Java (Spring Boot) and Python to support backend systems and event-driven architecture initiatives. The ideal candidate will have expertise in reactive programming, Kafka-based streaming, microservices, and cloud-native environments , along with exposure to AI-driven conversational platforms and LLM-based solutions ., * Design and develop scalable backend services using Java (Spring Boot) and Python

  • Build and maintain event-driven architectures using Kafka
  • Implement stream processing with Apache Flink
  • Develop and maintain RESTful APIs (GraphQL is a plus)
  • Work with microservices architecture in Kubernetes/OpenShift environments
  • Integrate backend services with AI / conversational platforms
  • Ensure performance, scalability, and reliability in distributed systems

Requirements

  • 6 8 years of Java development (Spring / Spring Boot)
  • 4 5 years of Python backend development
  • Experience with Reactive Programming (WebFlux)
  • Hands-on experience with Apache Kafka and Apache Flink
  • Strong experience with REST APIs
  • Experience with Redis, MongoDB, and Oracle
  • Experience with Microservices, Kubernetes/OpenShift, and CI/CD pipelines
  • Strong debugging and troubleshooting skills in distributed systems

Preferred:

  • Exposure to AI / conversational platforms (e.g., Dialogflow CX)
  • Familiarity with LLMs, prompt engineering, or agent-based architectures

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