Weekday AI

Proactive software engineer recruitment via referrals

Junior Software Engineer

Software EngineeringConfirmed live in the last 24 hours

Full-timeRemote in India$150 - $200 /hrRemote

About the Job

Requirements

At least one year of professional experience as a software engineer at a well-established technology company.
At least part of the relevant professional experience should have been gained within the past three years.
Strong understanding of programming fundamentals, data structures, algorithms, and object-oriented programming.
Practical experience writing, debugging, testing, and reviewing code.
Familiarity with software development practices, including version control, code reviews, testing, and debugging.
Ability to assess code for correctness, performance, readability, and maintainability.
Foundational understanding of software architecture and system design principles.
Ability to work independently and deliver accurate, high-quality technical assessments.

Responsibilities

Review AI-generated code for functional correctness, readability, maintainability, efficiency, and adherence to software engineering best practices.
Design challenging programming problems that assess algorithmic thinking, debugging skills, implementation quality, and practical engineering judgment.
Develop accurate, well-structured reference solutions that demonstrate effective approaches to solving software engineering problems.
Create comprehensive test cases to validate functionality, identify edge cases, and detect incomplete or incorrect implementations.
Evaluate AI-generated explanations and decisions involving software architecture, system design, debugging, and implementation strategies.
Identify bugs, inefficient algorithms, poor design choices, security concerns, and violations of established coding standards.
Provide detailed, actionable feedback explaining errors, weaknesses, and opportunities to improve code quality and model performance.
Clearly document problem requirements, expected behavior, solution approaches, testing procedures, and technical evaluation findings.
Ensure that coding tasks, reference solutions, and evaluation criteria are accurate, consistent, and reproducible.

Desired Qualifications

Experience developing and maintaining production-quality applications, services, or APIs.
Familiarity with reviewing complex codebases and identifying implementation weaknesses.
Experience designing coding exercises, technical assessments, or automated evaluation tests.
Candidates based in English-speaking countries are preferred.
Ability to communicate technical findings in clear, structured, and concise English.
Python, Java, C++, JavaScript, TypeScript, Go, or similar programming languages.
Object-oriented programming and design patterns.
API development and backend engineering.
Software architecture and system design.
Performance optimization and profiling.
Git and version control.
Unit testing and integration testing.
Continuous integration and continuous delivery (CI/CD) and software development workflows.
AI-generated code evaluation.
Familiarity with AI coding assistants and model benchmarking.

Junior Software Engineer

Weekday AI · India (Remote) · Contract · Posted 2026-10-19

Workplace: remote

Department: AI Training

Description

This role is for one of our clients

Pay: 150–200/hour

Role Type: Contractor

Location: Remote

We are seeking a motivated and detail-oriented Junior Software Engineer to contribute to the evaluation and improvement of advanced artificial intelligence systems. This opportunity is ideal for early-career software engineers with strong programming fundamentals, analytical thinking, and practical experience developing and reviewing software applications.

In this role, you will evaluate AI-generated code for correctness, quality, efficiency, and design. You will create challenging programming problems, develop reference solutions and test cases, and assess AI models' ability to solve real-world software engineering challenges. You will also review technical reasoning related to debugging, architecture, and system design, providing structured feedback to improve the reliability and performance of AI-generated solutions.

The ideal candidate has professional software engineering experience, a solid understanding of programming principles, and the ability to explain technical decisions clearly. Prior experience in artificial intelligence is not required.

Requirements

Key Responsibilities

AI-Generated Code Evaluation: Review AI-generated code for functional correctness, readability, maintainability, efficiency, and adherence to software engineering best practices.
Coding Problem Development: Design challenging programming problems that assess algorithmic thinking, debugging skills, implementation quality, and practical engineering judgment.
Reference Solution Creation: Develop accurate, well-structured reference solutions that demonstrate effective approaches to solving software engineering problems.
Test Case Development: Create comprehensive test cases to validate functionality, identify edge cases, and detect incomplete or incorrect implementations.
Technical Reasoning Assessment: Evaluate AI-generated explanations and decisions involving software architecture, system design, debugging, and implementation strategies.
Code Quality Analysis: Identify bugs, inefficient algorithms, poor design choices, security concerns, and violations of established coding standards.
Technical Feedback: Provide detailed, actionable feedback explaining errors, weaknesses, and opportunities to improve code quality and model performance.
Documentation: Clearly document problem requirements, expected behavior, solution approaches, testing procedures, and technical evaluation findings.
Quality Assurance: Ensure that coding tasks, reference solutions, and evaluation criteria are accurate, consistent, and reproducible.

Required Qualifications

At least one year of professional experience as a software engineer at a well-established technology company.
At least part of the relevant professional experience should have been gained within the past three years.
Strong understanding of programming fundamentals, data structures, algorithms, and object-oriented programming.
Practical experience writing, debugging, testing, and reviewing code.
Familiarity with software development practices, including version control, code reviews, testing, and debugging.
Ability to assess code for correctness, performance, readability, and maintainability.
Foundational understanding of software architecture and system design principles.
Strong analytical and problem-solving skills.
Excellent written communication skills, with the ability to explain technical decisions and complex engineering concepts clearly.
Ability to work independently and deliver accurate, high-quality technical assessments.

Must-Have Skills

Software Engineering Fundamentals
Programming and Coding
Data Structures and Algorithms
Code Review and Quality Assessment
Debugging and Troubleshooting
Automated Testing and Test Case Development
Problem-Solving and Logical Reasoning
Technical Documentation and Written Communication

Good-to-Have Skills

Python, Java, C++, JavaScript, TypeScript, Go, or similar programming languages
Object-Oriented Programming and Design Patterns
API Development and Backend Engineering
Software Architecture and System Design
Performance Optimization and Profiling
Git and Version Control
Unit Testing and Integration Testing
CI/CD and Software Development Workflows
AI-Generated Code Evaluation
Familiarity with AI coding assistants and model benchmarking

Preferred Qualifications

Professional software engineering experience at a recognized technology company.
Experience developing and maintaining production-quality applications, services, or APIs.
Familiarity with reviewing complex codebases and identifying implementation weaknesses.
Experience designing coding exercises, technical assessments, or automated evaluation tests.
Candidates based in English-speaking countries are preferred.
Ability to communicate technical findings in clear, structured, and concise English.

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About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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