
11 - 50 employees
Founded 2021
đź Consulting
đĽ HR Tech
âď¸ SaaS
Consulting ⢠HR Tech ⢠SaaS
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.
đĽ 1 hour ago
đŽđł India â Remote
đľ âš5M - âš10M / year
â° Full Time
đ´ Lead
đ§âđť Full-stack Engineer
đť Ghost score 20%
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2021
đź Consulting
đĽ HR Tech
âď¸ SaaS
Consulting ⢠HR Tech ⢠SaaS
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.
⢠Work directly with the founders and founding product designer to build, launch and rapidly improve the product ⢠Ship the complete product from database to reader-facing interface ⢠Use coding agents for implementation while focusing on product decisions, experiments and AI trust boundaries ⢠Own the production loop, including data modeling, streaming, background work, concurrency, payments, credit ledger, deployment and observability ⢠Ensure production events are reconstructable for diagnosing failures ⢠Develop benchmarks and evaluations for continuity, character behavior, narrative quality and failure modes ⢠Design memory and context systems for stories spanning hundreds of turns ⢠Select and assign models to different tasks ⢠Own retrieval, orchestration, cost and latency decisions ⢠Establish maintainable engineering standards around agents ⢠Test multiple approaches rapidly and make evidence-based product and infrastructure decisions
⢠5+ years of experience ⢠Real production engineering depth ⢠Ability to build with models, context, memory and evals ⢠Experience shipping consumer products end to end ⢠Experience building and operating production systems with language models at their core ⢠Experience diagnosing and fixing failures with real users ⢠Ability to design experiments before building custom infrastructure ⢠Ability to build meaningful evaluations ⢠Strong knowledge of databases, APIs, concurrency, background work and production reliability ⢠Design instinct and confidence making product decisions without a detailed specification ⢠Genuine interest in product retention and user experience ⢠Ability to explain complex technical decisions in plain English ⢠Comfortable challenging founders and advisers ⢠Preferred: several years as a full-stack product engineer ⢠Preferred: experience as one of the first engineers at an early-stage company ⢠Preferred: strong technical education such as IIT, NIT, IIIT or BITS ⢠TypeScript, Next.js and Postgres experience ⢠Experience with frontier models over APIs and background jobs ⢠Must-have skills: Large language models, Backend, System Design ⢠Good-to-have skills: AI agents, LLM Evaluation, Full-Stack Development
⢠Tooling, compute and model budget for real experiments ⢠Founders available daily and technical advisers available as a sounding board ⢠Broad ownership and a path to Head of Engineering as the team grows
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