Urgent! Sr. Java Developer with GenAI Integration (Java, LLM, RAG) - Immediate Joiners Job Opening In New Delhi – Now Hiring Grid Dynamics
Role Overview:
We are looking for a skilled
Senior Java Backend Engineer
to join our team focused on building scalable and high-performance backend systems for Generative AI applications.
You’ll play a key role in designing APIs, orchestrating AI agents, and integrating Large Language Models (LLMs) into production-ready systems.
This role is ideal for backend developers with a passion for modern AI technologies and distributed systems.
Key Responsibilities: Design, build, and maintain scalable backend services using
Java
and the
Spring Boot
framework Develop APIs to enable
LLM integration
and support AI agent orchestration workflows Architect microservices to power
RAG (Retrieval-Augmented Generation)
and other LLM-driven systems Optimize performance through efficient
caching strategies
and
vector database interactions Integrate and manage connections with multiple
LLM providers
(e.g., OpenAI, Gemini, Claude), including
rate limiting
and
failover handling Implement
real-time streaming
features for conversational AI systems using
WebSockets
or similar technologies Ensure robust system observability with
logging ,
monitoring , and
tracing
Required Skills & Qualifications: 3–7 years total, with a minimum of 1 year working on Generative AI projects
Backend Development: Minimum 3 years of hands-on experience with
Java
and
Spring Boot Strong grasp of
RESTful API
design principles and
microservices architecture Proficiency with core Spring modules:
Spring Security ,
Spring Data JPA ,
Spring Cloud Experience working with relational and NoSQL databases:
PostgreSQL ,
MongoDB ,
Redis Familiarity with
message brokers
such as
RabbitMQ
or
Apache Kafka Expertise in
caching mechanisms
and system performance tuning
Generative AI Integration: Experience integrating
LLM APIs
(OpenAI, Gemini, Claude, etc.) into backend services Knowledge of
vector databases
and
semantic search
technologies Familiarity with
AI agent orchestration frameworks
(e.g.,
LangGraph ) Understanding of
RAG systems
and how to implement them effectively Experience developing
streaming responses
using WebSockets or server-sent events Working knowledge of
prompt templating and management systems
Nice to Have: Experience in
fine-tuning LLMs
and managing
model deployment pipelines Knowledge of
self-hosted LLM environments
and infrastructure management Exposure to
observability tools
like LangSmith or custom monitoring setups Familiarity with
natural language to SQL systems
or BI applications powered by LLMs
Note:
If you are matching on to the above job description & skills, please feel free to fill in your details on the below Form enclosed (
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Unlock Your Sr Java Potential: Insight & Career Growth Guide
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Great news! Grid Dynamics is currently hiring and seeking a Sr. Java Developer with GenAI Integration (Java, LLM, RAG) Immediate Joiners to join their team. Feel free to download the job details.
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