Platform Backend Engineers

Weekday; Chennai; Hybrid; INR 5,000,000 - 12,000,000; Full time

Job summary

Weekday is seeking a Platform Backend Engineer to build and scale the backend infrastructure powering enterprise AI and supply chain decision intelligence. You will own core platform services, APIs, execution frameworks, and agentic systems that enable product teams and AI agents to operate reliably in production.

You will take ambiguous technical problems from initial design through implementation, deployment, and continuous improvement.

Qualifications

• Strong fundamentals in backend engineering and data structures.
• Hands-on experience building production-grade backend systems.
• Ability to explain system behavior beyond the framework layer, including API design and databases.
• Experience taking technical projects from design through production deployment.
• Strong problem-solving skills and ownership mindset.
• Clear communication of technical decisions and trade-offs.
• Experience in startup or fast-paced environments with end-to-end ownership.

Responsibilities

• Own platform capabilities end to end, from design to deployment.
• Design and maintain scalable backend services and APIs.
• Develop robust data models, concurrency handling, and observability.
• Build frameworks to develop, execute, and orchestrate AI agents.
• Develop production‑ready agent loops and tool integrations.
• Translate ambiguous requirements into practical engineering solutions.
• Debug production issues and improve system reliability.
• Collaborate with product teams to deliver reusable platform capabilities.
• Monitor production systems and evolve architecture as usage grows.
• Communicate design decisions clearly across teams.

Skills

Backend Engineering

Platform Engineering

Python

Dev platforms

Job description

This role is for one of our clients

Seniority level: Mid-Senior level
Industry: Software Development

Min Experience: 3+ years
Location: Bengaluru, Chennai
JobType: full-time

₹50,00,000 - ₹1,20,00,000 a year

We are looking for a skilled Platform Backend Engineer to build and scale the backend infrastructure that powers enterprise AI and supply chain decision‑intelligence products. The role involves developing core platform services, reusable APIs, execution frameworks, and agentic systems that enable product teams and AI agents to operate reliably in production.

You will take ambiguous technical problems from initial design through implementation, deployment, and continuous improvement. The work spans core backend platform engineering and the agentic layer, including frameworks for building and orchestrating AI agents and the agents built on top of them.

Hiring is open at both Senior and Staff levels, with the level determined by the scope of ownership, technical depth, and impact demonstrated.

About the Platform

The platform enables enterprises to solve complex supply chain challenges using AI‑driven decision intelligence. It combines ready‑to‑use AI capabilities for network optimization, inventory allocation, route scheduling, fulfillment planning, order promising, demand forecasting, prediction, and scenario analysis with a flexible development platform.

Business and technical users can build and refine solutions using no‑code tools, custom code, or extensible platform components. The engineering team focuses on providing the scalable, composable infrastructure that makes these capabilities reliable and accessible to enterprise customers.

Requirements

Key Responsibilities

• Own platform capabilities end to end, from problem definition and architectural design to development, release, and continuous iteration.
• Design, build, and maintain scalable backend services, APIs, and reusable execution patterns that other engineering teams can build upon.
• Develop robust data models and handle concurrency, failure recovery, performance optimization, and observability.
• Build and improve the frameworks used to develop, execute, and orchestrate AI agents.
• Develop production‑ready agent loops, tool integrations, orchestration mechanisms, and user‑facing experiences built on agentic systems.
• Translate ambiguous business and technical requirements into practical, maintainable engineering solutions.
• Debug complex production issues, identify root causes, and improve system reliability based on real‑world behaviour.
• Make sound technical decisions around system design, APIs, databases, and underlying execution mechanisms.
• Collaborate with product teams and other engineers to deliver reusable platform capabilities that support multiple downstream consumers.
• Take ownership of production systems, monitor their performance, and evolve their architecture as requirements and usage change.
• Communicate design decisions, trade‑offs, implementation details, and technical challenges clearly across teams.

Required Skills and Qualifications

• Strong fundamentals in backend engineering, including problem decomposition, data structures, low‑level design, and debugging.
• Hands‑on experience building and owning production‑grade backend systems.
• Ability to explain system behaviour beyond the framework layer, including API design, database interactions, concurrency, and failure handling.
• Experience taking technical projects from initial design through production deployment and subsequent improvements.
• Strong problem‑solving skills and the ability to navigate ambiguous requirements without relying on predefined solutions.
• A practical, hands‑on approach to engineering, with a strong sense of ownership and accountability.
• Clear communication skills, including the ability to explain technical decisions, trade‑offs, and production incidents.
• Experience working in a startup or similarly fast‑paced environment where engineers are expected to take initiative and deliver end‑to‑end solutions.

Must‑Have Skills

• Backend Engineering
• Platform Engineering

Good‑to‑Have Skills

• Experience building developer platforms, workflow orchestration systems, or services consumed by multiple downstream teams.
• Familiarity with AI agent evaluation, tracing, tool integration, and cost‑control mechanisms.
• Strong proficiency in Python.
• Experience designing reusable platform abstractions and execution frameworks.

Location and Work Arrangement

Location: Bengaluru or Chennai
Work Model: Hybrid

Interview Process

The selection process consists of the following stages:

1. Recruiter screening.
2. Conversation with engineering leadership.
3. Live system design and problem‑solving round.
4. Half‑day in‑office build exercise, where candidates can use AI tools of their choice and explain their implementation decisions.
5. Build teardown and values conversation.