Hands-on engineering role focused on building and scaling business-critical applications for Global Credit platform. This role partners closely with investment professionals and business stakeholders to design develop and deliver high-quality software solutions that improve credit workflows analytics and decision-making.
- Design build and maintain full-stack applications using Python on the backend and React / on the frontend
- Develop APIs and services that integrate with internal platforms data sources and third-party tools
- Develop retrieval-augmented generation (RAG) pipelines and LLM-based workflows using tools such as LangChain or LlamaIndex
Qualifications :
- Minimum of 8 years of hands-on experience building production systems using Python with strong experience working with enterprise data platforms and databases (e.g. Snowflake Databricks PostgreSQL MS SQL)
- Frontend development experience with React and/or
- Experience developing or integrating AI-enabled applications including familiarity with LLMs and orchestration frameworks (e.g. LangChain LlamaIndex)
- Prior experience or exposure to the investment management or financial services industry
Additional Information :
Remote Work :
No
Employment Type :
Full-time
Hands-on engineering role focused on building and scaling business-critical applications for Global Credit platform. This role partners closely with investment professionals and business stakeholders to design develop and deliver high-quality software solutions that improve credit workflows analyti...
Hands-on engineering role focused on building and scaling business-critical applications for Global Credit platform. This role partners closely with investment professionals and business stakeholders to design develop and deliver high-quality software solutions that improve credit workflows analytics and decision-making.
- Design build and maintain full-stack applications using Python on the backend and React / on the frontend
- Develop APIs and services that integrate with internal platforms data sources and third-party tools
- Develop retrieval-augmented generation (RAG) pipelines and LLM-based workflows using tools such as LangChain or LlamaIndex
Qualifications :
- Minimum of 8 years of hands-on experience building production systems using Python with strong experience working with enterprise data platforms and databases (e.g. Snowflake Databricks PostgreSQL MS SQL)
- Frontend development experience with React and/or
- Experience developing or integrating AI-enabled applications including familiarity with LLMs and orchestration frameworks (e.g. LangChain LlamaIndex)
- Prior experience or exposure to the investment management or financial services industry
Additional Information :
Remote Work :
No
Employment Type :
Full-time
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