Platform Backend Engineers

Weekday (YC W21); Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Weekday (YC W21) is seeking a Platform Backend Engineer to design and scale the backend infrastructure powering AI and supply chain decision intelligence. You will deliver core platform services, APIs, and agentic frameworks, enabling product teams and AI agents to operate reliably in production.

Responsibilities include taking ambiguous problems from design through delivery, expanding the agent orchestration framework, and ensuring robust production systems with strong ownership and cross-team

Qualifications

• Strong fundamentals in backend engineering and data structures.
• Hands-on experience building production-grade backend systems.
• Ability to design and explain API, database interactions, concurrency, and failure handling.
• Experience delivering projects from design to production.
• Good communication and ownership in a startup environment.

Responsibilities

• Own platform capabilities end to end from design to deployment.
• Develop scalable backend services, APIs, and reusable execution patterns.
• Build data models with attention to concurrency, performance, and observability.
• Develop frameworks to build, execute, and orchestrate AI agents.

Skills

Backend Engineering

Platform Engineering

Job description

This role is for one of our clients

Seniority level: Associate level

Industry: Software Development

Min Experience: 3+ years

Location: Bengaluru, Chennai

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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:

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