Salary
≈ $20k – $87k per year (Estimated)
Location
Remote (India)
Employment
Contractor
Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.
'
: - ( - )
Experience: 4+ yrs
Location: Remote (India)
Job Type: Full-time
We are looking for an exceptional Full-Stack Product Engineer to take end-to-end ownership of a fast-growing, AI-powered product. This role combines product engineering, systems design, AI, automation, UX, and technical leadership, requiring strong technical judgment and a bias toward rapid execution.
You will initially operate as a hands-on, highly autonomous engineer, owning the product from frontend experience through backend systems and infrastructure. For the right individual, this opportunity can evolve into a Lead Engineer position with responsibility for building and leading the future engineering team.
Requirements
Key Responsibilities
- Own the product end to end across frontend, backend, database, infrastructure, and deployment.
- Build and maintain modern frontend experiences using TypeScript, React, and Vite.
- Develop scalable backend services using TypeScript.
- Design and manage production applications deployed on Vercel with Supabase/PostgreSQL.
- Build reliable account infrastructure capable of managing and operating 100+ active accounts at scale.
- Design and develop an AI-powered UGC/content-generation engine focused on producing high-performing short-form content.
- Build internal systems and operational tools that enable teams to manage account and content workflows efficiently at scale.
- Develop and maintain agentic integrations, including MCP-based infrastructure and integrations with modern AI agent ecosystems.
- Make key architectural decisions around technology, system design, tooling, scalability, reliability, and engineering trade-offs.
- Balance rapid product development with building systems that can scale as users and revenue grow.
- Work closely with the founder to shape the product and technical roadmap.
- Engage with users, understand product needs, and translate insights into impactful product improvements.
- Identify opportunities to embed AI and automation across both the product and engineering workflows.
- Establish engineering standards, development practices, and technical processes as the organization scales.
- Take ownership of technical quality, reliability, performance, and maintainability across the product.
- Build, hire, mentor, and eventually lead the engineering team as the company grows.
What Makes You a Great Fit
- 4+ years of experience as a strong full-stack or product-focused software engineer.
- Proven ability to build and ship products end to end, from user-facing interfaces to backend systems and data infrastructure.
- Deep hands-on expertise with TypeScript across the stack.
- Strong experience with React, Vite, backend TypeScript, Vercel, Supabase, and PostgreSQL in production environments.
- Experience designing scalable, reliable, and maintainable production systems.
- Strong understanding of product engineering, UX, system architecture, and technical trade-offs.
- Strong product instinct with the ability to think in terms of user journeys, experiences, outcomes, and business impact, rather than simply individual technical components.
- Deep familiarity with short-form content and social media, with a strong instinct for identifying what content works and why.
- Experience building or integrating AI-powered products, automation systems, or agentic workflows is highly desirable.
- Strong understanding of modern AI tooling and architectures, including MCP or similar agentic integration frameworks, is an advantage.
- Highly autonomous with a strong sense of ownership and the ability to operate effectively as a solo technical builder.
- Exceptional problem-solving and architectural judgment, with the ability to make pragmatic decisions under ambiguity.
- Strong bias toward execution, experimentation, and rapid iteration without compromising engineering fundamentals.
- Ability to work closely with founders and senior stakeholders and contribute meaningfully to product strategy and technical vision.
- Entrepreneurial mindset with the ambition to build technical advantages, move quickly, and create scalable systems.
- Demonstrated potential and interest in eventually building and leading an engineering team.
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