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Ernst & Young

Global professional services: consulting, assurance, tax

DE-RCE-Agentic AI Python Developer

AI Application Engineering +1Updated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Four to eight years of technical source-code development experience, including design leadership, hands-on development, and technical leadership.
  • Working experience in any facet of the risk domain, financial risk, banking capital markets, or wealth and asset management.
  • Experience in AI engineering, AI design, and AI adoption, including vector databases, Python AI frameworks, retrieval-augmented generation models, large or small language models, agentic AI integration and workflows, and agentic AI model operations and pipelines.
  • Backend development with Python as the primary language, including API creation using Django or FastAPI, microservices, data integration, data structures, and algorithms.
  • Working knowledge of deploying applications in cloud infrastructure such as Azure, AWS, or Google Cloud Platform, and implementing continuous integration and continuous delivery pipelines with version control using Git.
  • Experience implementing machine-learning models using Python, including machine-learning operations and AI model operations.
  • Experience with SQL databases such as PostgreSQL and/or NoSQL databases such as MongoDB.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

Responsibilities

  • Amend product designs to align with functional specifications and develop product features hands-on, optimizing source code efficiency.
  • Challenge technology stacks and API choices when appropriate to apply efficient industry practices while balancing product time to market.
  • Coach and mentor team members technically as needed, including performing code reviews.
  • Demonstrate sound development practices across front-end, back-end, APIs, data layers, third-party integrations, and AI models through hands-on development.
  • Map functional specifications to product features to ensure product coverage and accuracy.
  • Perform techno-functional quality assurance testing of product features against functional specifications.
  • Automate testing where feasible using Excel, VBA, Python, or other available tools.
  • Partner with architects and application teams to deliver secure solutions.
  • Provide functional support across delivery phases, including sprints, testing, and hypercare.
  • Guide and coach junior technical analysts and testers.

Desired Qualifications

  • Prior experience in product-based IT development involving full-stack engineering, machine learning, AI-driven development, and DevOps.
  • Front-end experience with Angular, React, or similar technologies.
  • Exposure to the MEAN or MERN stack.
  • Exposure to Node.js.
  • Experience with Power BI or similar business intelligence platforms.
  • Cloud certification, with Azure preferred and AWS or Google Cloud Platform also acceptable.
  • AI or machine-learning certifications.
  • Working experience in the risk domain.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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