Description

Design and build AI-enabled applications for DB Intelligence, covering user-facing workflows, APIs, microservices, and data integration layers.

This role is hybrid.

Responsibilities

• Develop modern React and TypeScript front ends with reusable components and explainable AI-assisted workflows.
• Build Python services for AI/ML integration, model orchestration, RAG, agentic workflows, and automation.
• Implement Java/Spring Boot microservices for enterprise backend capabilities, business rules, and secure service-to-service communication.
• Integrate structured and unstructured data sources, including internal systems, documents, and market data.
• Apply engineering discipline with clean code, automated testing, CI/CD, and production support readiness.

Required Skills

• 5+ years of professional software engineering experience delivering AI, data, or analytics platforms.
• Strong React, TypeScript, JavaScript, and state management expertise.
• Proficient in Python with FastAPI/Flask, Pandas, and AI/ML libraries.
• Strong Java experience with Spring Boot, REST APIs, and microservices.
• Practical GenAI experience: LLM APIs, prompt engineering, embeddings, vector databases, RAG, and guardrails.
• Experience with SQL databases, document stores, and event-driven architecture.
• Understanding of secure engineering, authentication, and data protection.

Preferred Skills

• Experience with model evaluation, hallucination mitigation, and human-in-the-loop review.
• Background in portfolio/risk insight generation and decision support systems.

Key Skills

Education

Bachelor's degree