Software Engineer - Efficiency Engineering and AI Enablement

Role responsibilities

Design and deliver internal applications and AI-enabled solutions to improve productivity and quality for Production Support and Quality Engineering. Integrate large language models into workflows using APIs and agentic frameworks to automate incident analysis and test-case generation.

Requirements

Requires a Bachelor's degree in Computer Science and 2-5 years of professional software engineering experience. Proficiency in modern backend and frontend frameworks, cloud platforms, and a strong interest in applying AI/LLM technologies is essential.

Key skills

Python, FastAPI, Java, Spring Boot, React, Next.js, Angular, PostgreSQL, AWS, Docker, LLM, Prompt Engineering, RAG, Agentic Workflows, Containerization, API Development

Keywords

Software Engineering, AI Enablement, Efficiency Engineering, Large Language Models, LLM, Python, FastAPI, Java, Spring Boot, React, Next.js, Angular, PostgreSQL, AWS, Docker, Containerization, Prompt Engineering, Retrieval-Augmented Generation, RAG, Agentic Workflows, Production Support, Quality Engineering, Investment Management, Automation, API, Cloud Computing, Incident Analysis, Software Quality, Engineering Productivity