# Senior Engineering Manager

> Weekday AI · Hyderabad, India · Full-time · Posted 2026-07-25

**Salary:** INR 2,000,000–2,500,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟮𝟱 𝗟𝗣𝗔)

Experience: 8+ yrs

Location: Hyderabad, Telangana, India

Job Type: Full-time

We are seeking an experienced **Technical Lead – AI Platform Engineering** to drive the architecture, development, and evolution of a next-generation AI-powered enterprise platform. This role is ideal for a hands-on engineering leader who thrives in building scalable systems from the ground up while establishing technical standards, engineering best practices, and a strong development culture.

As a Technical Lead, you will work closely with leadership, product teams, and customers to design high-impact platform capabilities, including data integration, reconciliation engines, AI-powered services, and secure multi-tenant architectures. You will play a key role in defining system architecture, mentoring engineers, and delivering production-grade software that emphasizes reliability, scalability, security, and operational excellence.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable backend platforms using Python, Django, Django REST Framework (DRF), Celery, and PostgreSQL.
-   Architect robust data integration frameworks capable of handling multiple external systems, heterogeneous data sources, and evolving schemas.
-   Build intelligent data reconciliation engines with strong validation, auditing, and exception-handling capabilities.
-   Develop AI-powered services using Retrieval-Augmented Generation (RAG), explainable AI techniques, and reliable data-grounding approaches.
-   Design secure multi-tenant architectures with strong data isolation, access control, audit trails, and security best practices.
-   Build event-driven systems using asynchronous workflows, message queues, and modular service architectures.
-   Define engineering standards for code quality, architecture, testing, documentation, and API design.
-   Collaborate with product, engineering, and customer teams to translate business requirements into scalable technical solutions.
-   Mentor engineers, conduct technical reviews, and foster a culture of continuous learning and engineering excellence.
-   Evaluate and implement AI-assisted development practices while establishing governance and quality controls for AI-generated code.
-   Continuously optimize platform performance, scalability, reliability, and operational efficiency.

### What Makes You a Great Fit

-   8+ years of experience designing and building large-scale production software systems.
-   Strong hands-on expertise in **Python**, **Django**, **Django REST Framework (DRF)**, **Celery**, and **PostgreSQL**.
-   Deep understanding of backend architecture, distributed systems, API development, and event-driven application design.
-   Proven experience integrating complex external systems and managing large-scale data processing and reconciliation workflows.
-   Practical experience implementing **Large Language Models (LLMs)**, **Retrieval-Augmented Generation (RAG)**, and AI-powered enterprise applications.
-   Strong knowledge of PostgreSQL optimization, multi-tenant architecture, Row-Level Security (RLS), and database performance tuning.
-   Experience designing secure, scalable, and maintainable enterprise platforms with strong emphasis on reliability and auditability.
-   Hands-on exposure to AI-assisted software development tools and modern engineering workflows.
-   Excellent problem-solving, architectural decision-making, mentoring, and stakeholder communication skills.
-   Experience with enterprise integrations, security standards, cloud-native architectures, or modern frontend technologies such as React or Next.js is an added advantage.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/0EC3150FF5/apply)

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