Description :

- 5 to 10 years overall work experience, with at least 1 year in Generative AI.

Responsibilities :

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.

Requirements :

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.

Nice to have :

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.

We offer :

- Opportunity to work on bleeding-edge projects.

- Work with a highly motivated and dedicated team.

- Competitive salary.

- Flexible schedule.

- Benefits package medical insurance, sports.

- Corporate social events.

- Professional development opportunities.

- Well-equipped office.

About Us :

- Grid Dynamics (NASDAQ : GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.

- Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.

- A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience.

- Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.