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hirist

Principal Engineer - Java & Generative AI

Live Connections
12 - 20 Years
Bangalore

Posted on: 06/05/2026

Job Description

ABOUT ROLE :

Build next-generation GenAI-powered and API-first Open Banking platforms for Commercial and Corporate Banking. We are hiring a Principal Engineer with deep Java ecosystem expertise to architect and scale enterprise-grade AI systems operating at global banking scale.

This role requires a hands-on technologist who can combine strong Java-based distributed systems engineering with modern GenAI architecture patterns in a regulated financial environment.

Desired Qualifications :

- Strong hands-on expertise in Java ecosystem (Spring Boot, REST APIs, microservices, concurrency, performance tuning) and Python

- Proven experience designing large-scale distributed systems in production

- 1- 2 years of experience delivering GenAI systems, including hands-on work with :

1. Applications powered by LLMs

2. RAG architectures

3. Embeddings and vector databases

4. Agent frameworks and orchestration

- Experience integrating AI services into enterprise backend platforms

- Strong cloud-native experience (GCP, Azure)

- Ability to influence architectural decisions across complex systems

- Experience in Banking/Financial services domains (e.g. commercial or corporate, Payments, Treasury, lending, FX)

- Experience implementing AI governance, risk, and model validation frameworks

- Familiarity with event-driven architectures (Kafka or similar)

- Experience modernizing legacy Java systems with AI augmentation

Job Expectations :

- Deployment of GenAI services embedded into core Java-based banking platforms

- Strong alignment between AI capabilities and commercial banking product strategy

- Production-grade GenAI applications integrated into Java-based enterprise platforms

- RAG pipelines, agent orchestration layers, and AI service abstractions callable from core Java systems

- Secure, compliant Open Banking APIs powering high-volume enterprise clients

- Observability, resilience, and governance frameworks for AI-enabled services

- Design and implement high-performance distributed systems primarily in Java (Spring Boot, microservices architecture), ReactJS and MicroFrontends

- Integrate LLMs, RAG pipelines, and AI orchestration frameworks into enterprise Java systems

- Lead deep technical design reviews across backend, API, and AI integration layers

- Partner with Product and Business leaders to shape AI-enabled banking capabilities

- Mentor senior engineers and elevate engineering rigor across the organization

- You will solve hard engineering problems inside regulated, mission-critical environments

- You will influence AI platform direction at scale and build durable systems - not prototypes

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