
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.
🕒 September 12
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
Microservices
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• Architect and build scalable Generative AI and agentic AI applications, end to end • Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems • Build intelligent AI agents using LangChain and LangGraph for NL-to-SQL, autonomous task agents, and RAG pipelines • Select, customize, fine-tune, and optimize state-of-the-art LLMs • Design and own full ML/GenAI pipelines, including training, deployment, monitoring, and lifecycle management • Build APIs, microservices, and integration frameworks to bring AI into enterprise products • Champion responsible AI practices by mitigating hallucinations, bias, and reliability risks • Partner directly with customers, product, and engineering to turn business needs into robust AI architecture • Mentor engineers and help shape the long-term AI platform strategy • Serve in a customer-facing role spanning solution architecture, hands-on engineering, and client conversations
• 6+ years in traditional ML, including 2+ years hands-on with Generative AI • Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems • Real-world experience with LangChain/LangGraph or similar agentic frameworks • Strong Python skills — API wrappers, third-party integrations, internal tooling • Solid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learn • Experience with NLP, embedding models, and vector databases • Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models • Experience designing distributed, cloud-native architectures (microservices, REST APIs) • Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes • MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management • Excellent communication skills — you can translate technical depth for non-technical stakeholders • Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field • Comfort with startup pace and strong ownership mentality • Preferred: LLM fine-tuning experience (LoRA, RLHF, PEFT) • Preferred: Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation) • Preferred: AI observability/monitoring tool experience • Preferred: Familiarity with AI governance and compliance (GDPR, SOC 2) • Preferred: Prior consulting or solution-architecture experience shipping enterprise AI products • Preferred: Background in financial services, healthcare, or insurance
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