Python AI Developer Lead

EY; Hyderabad, Bengaluru, Dadri; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

EY is recruiting for a senior technical leader in India to drive Python-driven product development, AI model ops, and secure API design. You will mentor teams, oversee end-to-end delivery, and shape architectural decisions.

The role emphasizes hands-on development in Python, Django/ FastAPI, cloud deployment across Azure/AWS/GCP, and strong collaboration with architects and QA teams in a fast-paced environment.

Qualifications

• 8-12 years of technical source code development experience

Responsibilities

• Product Design and hands-on Development
• Demonstrate the right-ways of development across front end, back end, APIs and AI models
• Map functional specifications to product features
• Coach and mentor team members technically and perform code reviews
• Perform Techno-functional Testing (QA) and automate testing using Python or Excel/VBA
• Collaborate with architects and application teams for secure delivery
• Guide junior TAs and testers in the team

Skills

Python

Azure

AI/GenAI

Flask

Django

APIs

ML Ops

PostgreSQL

MongoDB

React

Angular

Node.js

CI/CD

Git

Docker

Kubernetes

Tools

Git

Docker

Kubernetes

CI/CD

Job description

Position Overview:

Exp:8-13 yrs

Mandatory Skills: Python, Azure, AI ( GenAI OR RAG OR LLM OR Lang chain), Flask OR Flask Api OR Django

Location: Bangalore, Hyderabad, Pune, Noida, Chennai, Kolkata, Trivandrum, Coimbatore, Kochi, Gurgaon, Mumbai

Job Description:

Your key responsibilities

Product Design and hands-on Development

• Use working experience to amend design (commensurate to functional specifications) and demonstrate hands-on development of product features, with utmost efficiency and optimization of source code
• Wherever needed, challenge status quo for tech stacks, API choices to include most efficient industry practices, balancing the time to market for the product at hand
• Coach and mentor team members technically as needed (including performing code reviews)

Technical Leadership (Python-led full stack)

• Demonstrate the right-ways of development in all facets of software development (Front end, Back end, APIs , Data layers, 3rd party integrations and AI models) (Lead with Walk the Talk mindset)
• Map functional specifications to product features to ensure coverage and accuracy of product
• Demonstrate critical thinking, strong communication, logical reasoning and technical convincing as needed

Quality Assurance

• Perform Techno-functional Testing (QA) for product features getting implemented as per the functional specifications
• Automate testing wherever possible using most feasible approaches (Excel/ VBA or Python or any available tool/s)

Collaboration & Support

• Partner with architects and application teams for secure solution delivery.
• Provide functional support to all phases of delivery (Sprints, Testing, Hypercare etc.)
• Ability to guide and coach junior TAs and testers in the team

Skills and attributes for success

Required Skills

• 8-12 years Technical source code development experience, with right mix of design leadership, hands on development and overall technical leadership
• Working experience in
  • Any facet in Risk Domain (Enterprise Risk, Operational Risk, Internal Controls, Internal Audit, Third Party Risk etc. any segment in Risk domain)
  • Back end (Python primary) including API creation (Django or Fast API), microservices and data integration, Data Structures and Algorithms
  • Cloud and Devops : Working knowledge of deploying applications in cloud infrastructure (Azure or AWS or GCP) and implement CI/CD pipelines, with version control (Git)
  • Python driven Machine Learning model implementation (ML Ops) and AI model ops
  • Databases like SQL (PostgreSQL) and/or NoSQL (MongoDB)
  • Good to have:
    • Front end (Either of Angular, or React or similar)
    • MEAN or MERN stack exposure
    • Node js Exposure
    • BI platforms (PowerBI or alike)

Preferred Qualifications

• Certifications: Any of Cloud certifications (Azure preferred but AWS, GCP acceptable)
• AI or ML Certifications
• Working experience in Risk domain