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Open nowPosted 10 hours ago

Python Engineer

Weekday AI

Where
Delhi, DL, India
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Your applicationOpen nowPython EngineerWeekday AI · Delhi, DL, India
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Share of postings closed within
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  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 10 hours ago

The posting

This role is for one of Weekday’s clients

Min Experience: 5+ years Location: NCR, Gurugram, Haryana, India, Gurgaon, Haryana, India JobType: full-time

We are looking for an experienced Python Engineer with strong software engineering fundamentals and a passion for building scalable, reliable, and intelligent applications. The role involves developing production-grade Python services, designing robust application architectures, integrating internal and external systems, and building AI-enabled product experiences.

The ideal candidate should be comfortable working across application logic, backend integrations, asynchronous workflows, and production infrastructure. This is a product engineering role that requires strong coding skills, sound system-design judgment, and the ability to investigate and resolve real-world production issues.

Requirements

Key Responsibilities

  • Backend Development: Build and maintain production-ready Python services that power real-time applications and AI-enabled product experiences.
  • Application Architecture: Design modular and maintainable software architectures with clear separation between business logic, workflows, integrations, and infrastructure.
  • Asynchronous Programming: Implement asynchronous and event-driven workflows that effectively handle concurrency, timeouts, cancellations, retries, and partial failures.
  • API Development and Integration: Integrate internal and external systems through well-designed APIs, streaming interfaces, message queues, and structured data contracts.
  • Production Reliability: Ensure application quality and reliability through effective logging, monitoring, metrics, distributed tracing, automated testing, and safe release practices.
  • Troubleshooting and Debugging: Investigate production issues, analyse runtime evidence, identify root causes, and implement long-term solutions to prevent recurring failures.
  • Technical Design: Translate product requirements into practical technical designs, balancing scalability, maintainability, and simplicity.
  • Cross-Functional Collaboration: Work closely with Product, Frontend, Platform, Data, and Customer-facing teams throughout the design, development, and deployment lifecycle.
  • Code Quality and Engineering Practices: Participate in code reviews, maintain technical documentation, and continuously improve development processes and engineering workflows.

Required Skills and Qualifications

  • 5+ years of professional software development experience with strong hands-on expertise in Python.
  • Strong understanding of object-oriented programming, functional design principles, and software engineering best practices.
  • Experience with Python typing, packaging, dependency management, and maintainable code structures.
  • Practical knowledge of asynchronous programming, concurrency, API design, and distributed system failure scenarios.
  • Experience developing and managing backend services using relational or document databases, caching mechanisms, and messaging systems.
  • Strong understanding of testing methodologies, including unit, integration, contract, and regression testing.
  • Working knowledge of containers, cloud environments, version control systems, CI/CD pipelines, and production observability.
  • Good system-design capabilities, with the ability to evaluate technical trade-offs and develop simple, scalable solutions.
  • Strong analytical, debugging, and problem-solving skills.
  • Excellent written and verbal communication skills, with the ability to explain technical decisions to non-technical stakeholders.

Must-Have Skills

  • Python
  • Object-Oriented Design
  • Functional Design

Good-to-Have Skills

  • AI Integration
  • Machine Learning
  • Conversational Interfaces

Preferred Qualifications

  • Experience integrating AI or machine-learning capabilities into customer-facing applications.
  • Exposure to conversational interfaces, streaming systems, real-time media processing, or multilingual applications.
  • Familiarity with workflow engines, state machines, tool orchestration, evaluation frameworks, and human-in-the-loop systems.
  • Experience developing software for regulated, privacy-sensitive, or high-reliability environments.
  • Ability to investigate latency, application quality, and user-experience issues across multiple system components.

Expected Outcomes – First Six Months

  • Develop a strong understanding of critical product workflows and application architecture.
  • Independently take ownership of a significant backend service or workflow.
  • Deliver product and engineering improvements supported by comprehensive test coverage.
  • Achieve at least one measurable improvement in system reliability, application latency, operational efficiency, or developer productivity.
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