DE-RCE-Agentic AI Python Developer
Ernst & Young (EY) (company site, opens in a new tab)4–8 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and hands-on Python-based full stack development for Risk and Compliance products focusing on AI/ML integration and optimized source code development.
- Implement and automate techno-functional testing and quality assurance processes for product features as per functional specifications.
- Mentor and coach technical team members, collaborate with architects and application teams to ensure secure and efficient solution delivery across all delivery phases.
Minimum Requirements
- 4-8 years of technical source code development experience including design leadership and hands-on development.
- Experience in Risk Domain (Enterprise Risk, Operational Risk, etc.) or Financial Risk, or Banking/Capital Markets/Wealth-Asset management exposure.
- Proficiency in Python backend development (Django or FastAPI), API creation, microservices, data integration, AI engineering with frameworks relevant to Vector DBs, RAG models, LLM/SLM, Agentic AI.
- Bachelor’s degree in Computer Science, Engineering, IT, or related field; Cloud deployment experience (Azure preferred); knowledge of CI/CD and version control (Git).
Ideal Candidate Profile
- Technical leader comfortable balancing design leadership with hands-on development and mentoring in multidisciplinary teams.
- Experience working in regulated financial services or risk domains integrating AI/ML capabilities into enterprise applications.
- Capable of driving product quality through automated testing and ensuring secure, scalable cloud-based deployment solutions.