Backend Developer (Java / Spring) (India)

Experience: 3.00 + years

Salary: INR hidden_mobile.00 / year (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: PRT)

(*Note: This is a requirement for one of Uplers client - PRT)

What do you need for this opportunity

Must have skills required

LLM, rag, Spring AI, Spring Security, Springboot, Java, Kubernetes, MongoDB

PRT is Looking for

Backend Developer (Java / Spring)

Role: Backend Developer

Team: Engineering

Location: Work From Home

Type: Full-time

Experience: 3-4 years

About Us

We are a sovereign, on-premises AI platform covering the full AI lifecycle: model training,

inference, retrieval-augmented generation (RAG), agents, and multi-agent systems. We build

for regulated and data-sensitive enterprises that cannot send their data to public cloud APIs.

Everything we ship is designed to run inside the customer''''s own environment, including fully

air-gapped deployments.

As an early-stage company, we move fast and keep our stack lean. You will work close to

the product, ship real features into production, and have a direct say in the architecture you

build on.

The Role

We are looking for a backend developer to help build the core of our platform: the agent

runtime, the RAG and document ingestion pipelines, and the messaging infrastructure that

ties them together. This is a hands-on engineering role with significant ownership over

design decisions. You will work primarily in Java and Spring Boot, with Spring AI at the

center of our agent and inference layer.

What You Will Do

• Design and build backend services in Java and Spring Boot, with a focus on clean

separation of concerns and minimal framework complexity.

• Develop the agent runtime on top of Spring AI: tool-calling, structured output handling,

human-in-the-loop flows, and durable suspend/resume of agent runs.

• Build and harden RAG and document ingestion pipelines, including extraction, chunking,

and vector search over pgvector.

• Work with RabbitMQ and Spring AMQP to build durable, event-driven messaging across

the platform, including QoS profiles and token propagation.

• Integrate inference backends such as llama.cpp and expose them cleanly to the rest of the

system.

• Model and persist application state in MongoDB, and design schemas that hold up under

real production load.

• Package and deploy services with Docker and Kubernetes, including into customer-

managed and air-gapped clusters.

• Contribute to API design and documentation, and help keep the codebase maintainable as

the team grows.

Required

What We Are Looking For

• Strong skilled experience with Java and the Spring ecosystem, especially Spring

Boot.

• Solid grasp of backend fundamentals: concurrency, data modeling, API design, and testing.
• Strong testing discipline, with hands-on experience writing both unit and integration tests

(JUnit 5, Mockito, AssertJ, Spring Boot Test, and Testcontainers).

• Experience with message brokers (RabbitMQ or similar) and event-driven architectures.
• Comfort working with databases, both relational (Postgres) and document stores

(MongoDB).

• Experience securing applications with Spring Security (authentication, authorization, JWT,

OAuth2).

• Hands-on experience containerizing and deploying services with Docker and Kubernetes.
• A pragmatic engineering mindset: you favor simple, durable solutions.
• Ability to work independently and own features end to end in a small team.

Nice to Have

• Experience with Spring AI or building LLM-backed applications.
• Familiarity with RAG, vector databases (pgvector), or embedding pipelines.
• Exposure to agentic systems, tool-calling, or multi-agent orchestration.
• Experience running models locally (llama.cpp, vLLM) or with on-premises / air-gapped

deployments.

Why Join Us

• Real ownership: you shape the architecture, not just tickets in a queue.
• Work on hard, current problems at the intersection of enterprise software and applied AI.
• A lean, JVM-native stack with a strong bias toward clean engineering.
• Early-stage equity and the chance to grow with the company.

Our Tech Stack

• Language & framework: Java, Spring Boot, Spring AI, Spring Security
• Messaging: RabbitMQ, Spring AMQP
• Data: MongoDB (Spring Data MongoDB), PostgreSQL, pgvector
• Inference: llama.cpp, vLLM
• Infrastructure: Docker, Kubernetes
• Testing: JUnit 5, Mockito, AssertJ, Spring Boot Test, Testcontainers

How to apply for this opportunity

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

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