Senior Gen AI Engineer

🔥 53 minutes ago

🇮🇳 India – Remote

💵 ₹1M - ₹6.5M / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

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

• Design, develop, and maintain scalable data engineering and analytics solutions • Build reliable data pipelines for batch and real-time processing • Develop data platforms and workflows using Databricks and modern cloud technologies • Work with large and complex datasets for analytics, reporting, and AI-driven applications • Design data models and optimise processing workflows for performance and scalability • Integrate structured and unstructured data sources • Implement data quality, validation, monitoring, and governance practices • Collaborate with data scientists, analysts, engineers, product teams, and business stakeholders • Translate business requirements into scalable technical and data solutions • Troubleshoot pipeline, processing, performance, and integration issues • Optimise data architectures and workflows for reliability, efficiency, and cost • Contribute to cloud-based data architecture and platform modernisation • Develop reusable frameworks, components, and data engineering best practices • Support deployment, monitoring, and maintenance of production data solutions • Stay current with emerging data engineering, cloud, analytics, AI, and modern data platform technologies

🎯 Requirements

• 5+ years of professional experience in data engineering, analytics engineering, data platforms, or a related technology role • Strong experience designing and developing scalable data pipelines and data processing solutions • Hands-on experience with Databricks and modern cloud-based data platforms • Strong understanding of data engineering concepts, data modelling, ETL/ELT, and distributed data processing • Experience with AWS, Azure, or GCP • Strong programming and scripting skills in Python, SQL, Scala, or Java • Experience with relational and non-relational databases and large-scale datasets • Understanding of data architecture, integration patterns, performance optimisation, and data quality • Experience supporting analytics, business intelligence, machine learning, or AI-driven use cases • Strong analytical and problem-solving skills • Ability to work effectively with cross-functional and technical teams • Strong communication skills for explaining technical concepts to business stakeholders • Experience working in agile, fast-paced technology environments • Ability to independently drive projects from requirements through implementation and production • Passion for learning and experimenting with emerging data, cloud, analytics, and AI technologies