- Design and build AI-enabled applications for DB Intelligence, including user-facing workflows, APIs, microservices, orchestration components and data integration layers.
- Develop and integrate Java / Spring Boot microservices for enterprise backend capabilities, business rules, workflow orchestration and secure service-to-service communication.
- Work with structured and unstructured data sources, including internal systems, documents, market/event data, portfolio data and enterprise knowledge sources.
- Contribute to AI architectures using LLM APIs, prompt orchestration, embeddings, vector search, RAG, model evaluation, guardrails and human-in-the-loop review.
- Engineer solutions that support scenario analysis, event-driven intelligence, impact assessment, portfolio/risk insight generation and decision support.
- Apply strong engineering discipline: clean code, automated testing, CI/CD, code reviews, observability, performance tuning, resilience and production support readiness.
- Implement controls for data privacy, entitlement management, audit logging, explainability, traceability, model output monitoring and responsible AI usage.
- Provide senior technical contribution, design leadership,



mentoring and reusable engineering patterns across the programme.

Required experience

- Significant professional software engineering experience, including recent hands-on delivery of AI, data, analytics or decision-support platforms.
- Strong Java engineering experience, preferably with Spring Boot, REST APIs, microservices, event-driven architectures, resilience and enterprise integration patterns.
- Experience building production-grade applications with clear understanding of security, scalability, availability, latency, observability and maintainability.
- Practical GenAI / AI application experience, such as LLM APIs, prompt engineering, embeddings, vector databases, RAG, semantic search, agent workflows, hallucination mitigation and guardrails.
- Experience integrating enterprise data sources and APIs, including SQL databases, document stores, search platforms, messaging/event platforms or data lakes.
- Robust understanding of secure engineering, authentication/authorisation, entitlement models, data protection and audit requirements.

📌 Java Developers (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India