Senior Fullstack Engineer (Remote)

Joblet-AI; India; Remote; INR 1,378,000 - 2,755,000; Part time

Job summary

Joblet-AI is seeking a Sr. Full-Stack Software Engineer for a remote, contractor role (~15 hours/week) on an AI training project. You will work across the full stack, tackle debugging, system design, and code evaluation tasks, and translate code across languages.

Flexible schedule with global, fully remote participation. The role emphasizes hands-on engineering across frontend and backend, contributing to architecture discussions and improving implementations in multiple languages.

Qualifications

• Hands-on experience with both front-end and back-end engineering.
• Production experience with multiple programming languages.
• Experience understanding and contributing to complete software system architecture.
• Ability to work effectively in unfamiliar codebases.
• Strong debugging and technical problem-solving skills.

Responsibilities

• Develop, modify, and debug front-end and back-end application components.
• Implement user-facing features and the services, APIs, and data models that support them.
• Work inside unfamiliar repositories and understand existing application architecture.
• Diagnose failures involving application state, API contracts, authentication, persistence, networking, and deployment.
• Evaluate and improve code written in multiple programming languages.
• Review AI-generated solutions for correctness, completeness, performance, security, and maintainability.

Job description

• Role Title: Sr. Full-Stack Software Engineer
• Role Type: Contractor (~15 hours per week)
• Location: Global, fully remote
• Full-Stack Software Engineer

Schedule

Flexible-you choose the hours and days you work, including weekends if desired as long as there is activity.

We are looking for highly skilled Full-Stack Software Engineers to contribute to an AI training project involving software development, technical problem-solving, debugging, system architecture, and code evaluation.

The work involves creating, solving, reviewing, and validating challenging software-engineering tasks across front-end and back-end systems and helping with translating full coding builds from one particular language into another.

This role requires meaningful hands-on experience across both front-end and back-end engineering. Candidates should be comfortable working throughout the application stack rather than specializing exclusively in one layer.

What You’ll Work On

1. Develop, modify, and debug front-end and back-end application components.

2. Implement user-facing features and the services, APIs, and data models that support them.

4. Work inside unfamiliar repositories and understand existing application architecture.

5. Diagnose failures involving application state, API contracts, authentication, persistence, networking, and deployment.

6. Evaluate and improve code written in multiple programming languages.

7. Review AI-generated solutions for correctness, completeness, performance, security, and maintainability.

Required Qualifications

2. Meaningful hands-on experience with both front-end and back-end engineering.

3. Production experience with multiple programming languages.

5. Experience understanding and contributing to the architecture of complete software systems.

6. Ability to work effectively in unfamiliar codebases.

7. Strong debugging and technical problem-solving skills.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply. Experts must submit a minimum number of tasks per week.

Start Timeline & Availability

1. We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first tasks within 24-48 hours of completing onboarding.

What You’ll Do

1. Develop, modify, and debug front-end and back-end application components.

2. Implement user-facing features and the services, APIs, and data models that support them.

4. Work inside unfamiliar repositories and understand existing application architecture.

5. Diagnose failures involving application state, API contracts, authentication, persistence, networking, and deployment.

6. Evaluate and improve code written in multiple programming languages.