Weekday (YC W21)
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ 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.
AI Engineer, Freelancer/Consultant
🕒 August 13
Where this job comes from
Posted on Weekday (YC W21)'s careers page ↗, not through a job board
First seen by Remote Rocketship August 13
Still open on Weekday (YC W21)'s site. Checked 3 days ago.
Weekday (YC W21)
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ 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.
📋 Description
• Build LLM, RAG, and agentic AI systems from the ground up • Design and implement document intelligence pipelines • Work hands-on with LangChain, LangGraph, and LlamaCloud • Deploy and scale AI services across AWS, GCP, or Azure • Ship production-ready solutions quickly without compromising on quality
🎯 Requirements
• 5+ years of experience • Strong, demonstrable experience in GenAI / LLM-based systems • Solid backend expertise in Python, with FastAPI or Django • Hands-on experience with RAG, embeddings, and vector databases • Exposure to ML, MLOps, and model evaluation practices • Ability to work independently with strong ownership and minimal oversight • Must-have skills: Python, RAG, Generative AI • Good-to-have skills: Artificial Intelligence, LLM, LangChain
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