
11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
🕒 Yesterday
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2021
☁️ SaaS
🎯 Recruiter
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
• Architect and build the core backend and platform from the ground up, the foundational systems everything else depends on. • Design and ship LLM agents that reason over large, messy, real-world organizational data, and make them reliable enough to trust. • Make the foundational calls, architecture, infrastructure, data, tooling, and set the bar for engineering quality on the team. • Operate with full autonomy. In a team this small, your judgment directly shapes the product, the codebase, and the company.
• You've spent years building and operating backend and platform systems at real scale, and you've been the person your team turned to for the hardest problems. • Deep expertise in Python, distributed/platform systems, API design, and SQL data stores, comfortable owning systems end to end, from design through production. • A track record of leading ambiguous, high-impact projects end to end. You've set technical direction, not just executed against someone else's. • Hands-on experience (or strong, fast-forming intuition) with LLMs, agentic frameworks, and RAG, and a feel for building dependable products on top of nondeterministic models. • You want the scope, pace, and consequence of an early-stage company over the structure of a large one. • Has owned and operated systems at meaningful scale at a strong engineering org, Staff / Senior Staff / Principal-level scope, even if the title varies. We care about scope and impact, not tenure or a year count. • Example signal: Staff/Senior/Principal at Databricks, Snowflake, Google, Meta, Amazon, OpenAI, Anthropic, Stripe, Notion, Ramp, Scale AI, or an early/senior founding engineer at a reputable VC-backed startup. • Most of their experience should not come from banks/financial companies, slow-moving non-tech, telecom, transportation/govt, etc. • Has been a technical anchor, the person who sets direction, makes the hard architectural calls, and unblocks others. • High drive for problem-solving and developing a deep, first-principles understanding of any challenge they take on. • Strong agency and independence, doesn't rely on others when it isn't necessary, comfortable defining the problem as well as solving it. • Excited (not just willing) to work in an early-stage environment: fast pace, fast iteration, high ownership. • Important: Backend depth, building robust production systems, APIs, Python.
Apply Now🕒 2 days ago
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