# Prinical engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-24

**Salary:** INR 5,000,000–7,500,000

**Workplace:** on_site

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

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱𝟬-𝟳𝟱 𝗟𝗣𝗔)

Experience: 12+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for an experienced **Principal Engineer** to provide technical leadership across complex software initiatives, with a strong focus on **Agentic AI, solution delivery, and Python engineering**. The ideal candidate will bring deep engineering expertise, strong architectural judgment, and a proven ability to translate business requirements into scalable, production-ready technology solutions.

This role is suited for a hands-on technical leader who can operate across architecture, engineering, AI, and delivery while influencing technical direction and mentoring senior engineering teams.

## Requirements

### Key Responsibilities

-   Provide technical leadership for complex, enterprise-scale software and AI initiatives.
-   Architect, design, and deliver scalable solutions using **Python** and modern software engineering practices.
-   Design and implement **Agentic AI systems**, intelligent workflows, AI agents, and automation solutions.
-   Evaluate AI use cases and translate business requirements into practical, scalable technical solutions.
-   Define solution architecture, technical standards, development patterns, and engineering best practices.
-   Lead end-to-end **solution delivery**, from requirements and architecture through development, deployment, and production adoption.
-   Build integrations between AI systems, enterprise applications, APIs, data platforms, and external services.
-   Develop reliable and maintainable Python-based services, APIs, automation frameworks, and backend systems.
-   Drive technical decision-making around scalability, performance, security, reliability, and maintainability.
-   Collaborate with Product, Engineering, Data, AI/ML, DevOps, and business stakeholders to deliver strategic initiatives.
-   Identify technical risks, dependencies, and architectural challenges and develop effective mitigation strategies.
-   Review technical designs and implementations and provide guidance on complex engineering challenges.
-   Establish engineering practices that improve code quality, development velocity, testing, observability, and operational reliability.
-   Mentor senior engineers and technical leads while fostering strong engineering standards and technical ownership.
-   Stay current with advancements in **Generative AI, Agentic AI, LLMs, AI orchestration, cloud technologies, and modern software architecture**.
-   Identify opportunities to improve existing systems through automation, AI adoption, architectural modernization, and process optimization.

### What Makes You a Great Fit

-   **12+ years of experience** in software engineering, technology architecture, solution engineering, or a closely related discipline.
-   Strong hands-on expertise in **Python** and backend software development.
-   Proven experience designing and delivering **large-scale, production-grade software solutions**.
-   Strong understanding of **Agentic AI, Generative AI, LLM-based applications, AI agents, orchestration, and intelligent automation**.
-   Demonstrated ability to take complex business requirements from concept through **end-to-end solution delivery**.
-   Strong understanding of software architecture, distributed systems, APIs, microservices, databases, and cloud technologies.
-   Experience integrating AI capabilities with enterprise applications, data platforms, and third-party systems.
-   Strong knowledge of software engineering principles, design patterns, scalability, performance, security, and reliability.
-   Excellent problem-solving and technical decision-making abilities.
-   Proven ability to influence architecture and engineering decisions across multiple teams.
-   Strong stakeholder-management and communication skills, including the ability to explain complex technical concepts to non-technical audiences.
-   Experience mentoring senior engineers and technical leaders.
-   Strong ownership mindset with the ability to operate independently in ambiguous and fast-moving environments.
-   Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline is preferred.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/F66905B02E/apply)

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