Generative AI Engineer

7 days ago

Bengaluru, Karnataka, India Grid Dynamics Full time

TE-3-7 Years

Location- Bangalore/Hyderabad/Chennai

NP-Immediate-30 days

Key Responsibilities:

  • Develop and maintain scalable backend services for generative AI applications using Java and Spring Boot
  • Design and implement APIs for LLM integration and AI agent orchestration
  • Build robust microservices architecture to support RAG systems and LLM-powered applications
  • Implement caching strategies and optimization for vector database operations
  • Integrate with multiple LLM providers and manage API rate limiting and failover mechanisms
  • Develop real-time streaming capabilities for conversational AI applications
  • Ensure system observability and implement comprehensive logging and monitoring

Required Skills:

Backend Development:

  • 3+ years of experience with Java and Spring Boot framework
  • Strong understanding of RESTful API design and microservices architecture
  • Experience with Spring Security, Spring Data JPA, and Spring Cloud
  • Proficiency with database technologies (PostgreSQL, MongoDB, Redis)
  • Knowledge of message queuing systems (RabbitMQ, Apache Kafka)
  • Experience with caching mechanisms and performance optimization

Generative AI Integration:

  • Experience integrating LLM APIs (OpenAI, Gemini, Anthropic) into backend systems
  • Knowledge of vector database integration and semantic search implementations
  • Experience with AI agent frameworks and orchestration (LangGraph, etc.)
  • Understanding of RAG architecture and implementation patterns
  • Experience with streaming responses and WebSocket connections for real-time AI interactions
  • Knowledge of prompt management and template systems

Good to Have:

  • Experience with fine-tuning workflows and model deployment pipelines
  • Knowledge of self-hosted LLM integration and management
  • Experience with observability tools (LangSmith, custom monitoring solutions)
  • Understanding of natural language to SQL query systems

Additional Requirements:

  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Knowledge of CI/CD pipelines and DevOps practices
  • Cloud platform experience with certifications preferred (AWS, GCP, Azure)
  • Understanding of authentication and authorization patterns
  • Experience with testing frameworks (JUnit, Mockito, TestContainers)
  • Knowledge of system design and scalability patterns
  • Familiarity with Elasticsearch or similar search technologies

About Us:

Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.

To learn more about Grid Dynamics, please visit . Follow us on Facebook , Twitter , and .

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