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Responsibilities

About the Team:
Aeolus is an in-house analytics platform that is heavily used by more than 130,000 employees globally. It integrates data from various data sources into the platform. It facilitates the cleaning, shaping, and organisation of data in a visualised way before it can be analysed. It stores them in an optimal way so that queries over billions of rows of data can be done within seconds. It organises results on dashboards with powerful charts and tables to drill down so that insights can be revealed in an effective way.

We are building something cool with AI agents integrated into the traditional data platform, revolutionizing how users interact with and derive insights from their data. We are passionate about building the best data analytics platform in the world and are looking for top-notch software engineers to join the talented team!

Responsibilities:
- Design and implement a powerful and easy-to-use data integration system.
- Design and implement AI-powered features to enhance data analysis capabilities, including natural language querying and automated insights generation.
- Develop LLM agents to assist users in data exploration, query formulation, and report generation.
- Integrate LLM to enable conversational analytics and intelligent data insights
Segment and design system layers to support componentized and layered application development, including business functionality and database access.
- Work with other engineers, managers, Product Management, QA, and Operations teams to develop innovative solutions that meet market needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules, and adherence to development goals and principles.
- Estimate engineering effort, plan implementation, and rollout of system changes.
- Independently design code and test major features, as well as work jointly with other team members to deliver complex changes.
- Identify technical areas for improvement and make detailed business cases for improvements or new areas of opportunities.
- Research, design, and develop computer and network software or specialised utility programs.
- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications:
- Bachelor's Degree in Computer Science or related discipline.
- At least 2 years of experience in software engineering.
- At least 2 years of experience in object-oriented design methodology and strong software development skills and expertise in Java.
- At least 2 years of experience in requirements analysis, design, coding, and unit testing of scalable, distributed, fault-tolerant applications.

Preferred Qualifications:
- Experience with AI/ML integration in data analytics platforms.
- Hands-on experience with open-source LLM frameworks such as LangChain, LangGraph, or similar.
- Experience integrating LLMs with data visualization and analytics platforms.
- Knowledge of RAG (Retrieval-Augmented Generation) patterns for enhancing LLM responses with real-time data.
- Experience with fine-tuning or deploying open-source LLMs.
- Experience with large-scale data-driven systems.
- Experience or good working knowledge of distributed systems and OLAP databases.
- Good communication skills to work with global teams.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications:
- Bachelor's Degree in Computer Science or related discipline.
- At least 2 years of experience in software engineering.
- At least 2 years of experience in object-oriented design methodology and strong software development skills and expertise in Java.
- At least 2 years of experience in requirements analysis, design, coding, and unit testing of scalable, distributed, fault-tolerant applications.

Preferred Qualifications:
- Experience with AI/ML integration in data analytics platforms.
- Hands-on experience with open-source LLM frameworks such as LangChain, LangGraph, or similar.
- Experience integrating LLMs with data visualization and analytics platforms.
- Knowledge of RAG (Retrieval-Augmented Generation) patterns for enhancing LLM responses with real-time data.
- Experience with fine-tuning or deploying open-source LLMs.
- Experience with large-scale data-driven systems.
- Experience or good working knowledge of distributed systems and OLAP databases.
- Good communication skills to work with global teams.

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