
11 - 50 employees
Founded 2023
👥 HR Tech
🎯 Recruiter
🤝 B2B
HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
🔥 49 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2023
👥 HR Tech
🎯 Recruiter
🤝 B2B
HR Tech • Recruitment • B2B
HR POD is a leading premium global recruitment agency dedicated to elevating human resource management services. With a focus on helping companies strategize and build robust HR frameworks, HR POD specializes in recruitment, training, and performance management. They pride themselves on serving a diverse client base, particularly in the tech industry, and adopt a data-driven approach to optimize HR practices that align with organizational goals. Their commitment to integrity, customer satisfaction, and excellence positions them as a reliable partner in enhancing talent acquisition and retention strategies for businesses worldwide.
• Connect, integrate, and model client data across multiple clouds and data sources using BigQuery and Google Cloud Storage (GCS) • Design scalable data models and schemas, and implement role-based access control (RBAC) to ensure secure data access • Develop Gemini Enterprise capabilities, including conversational analytics, grounded search, Retrieval-Augmented Generation (RAG), and AI agents • Integrate the monday.com Gemini Enterprise agent and enable data connectivity across multiple sources • Develop AI-powered self-service analytics solutions for non-technical users using agent creation and the Model Context Protocol (MCP) • Build and maintain governed analytics solutions using Looker and LookML to ensure reliability and consistency • Establish standardized, observable, and multi-tenant architectures to support reliable managed services • Lead technical implementations, review solutions, guide team members, and ensure high-quality delivery • Collaborate with client stakeholders and technical leaders to understand requirements and maintain strong working relationships
• 6+ years of experience leading data engineering, data architecture, and AI solution development • Commercial experience with Google Cloud Platform (GCP), particularly BigQuery and Google Cloud Storage (GCS) • Strong understanding of data modelling, schema design, data warehousing, lakehousing, and role-based access control (RBAC) • Relevant GCP certification(s) • Hands-on commercial experience with Gemini Enterprise and Generative AI, including AI agents, conversational analytics, RAG, and grounding • Knowledge of the Model Context Protocol (MCP) and experience with agent-based integrations • Experience with Looker, dashboard development, semantic modelling, and LookML • Strong proficiency in SQL and Python for data engineering and analytics development • Proven technical leadership, independent problem-solving, and delivery management skills • Excellent communication and stakeholder-management skills, with the ability to engage confidently with client heads and technical leads
• Remote work arrangement • Remittance salary
Apply Now🕒 Yesterday
Senior AI Engineer building agent orchestration and Graph RAG for a consumer app verifying Islamic claims against traceable sources. Improving retrieval, reliability, and production performance.
🕒 September 5
AI Engineer developing CloudPSO’s enterprise voice-agent platform for support, sales, and operations. Building speech, NLP, MLOps, APIs, and frontend prototypes.
🕒 September 5
AI engineer developing STT, NLU, and TTS models for CloudPSO’s enterprise voice assistant platform. Building MLOps, APIs, and frontend prototypes for scalable cloud deployment.
🕒 February 23
AI Architect building AI-native products and leading cross-functional Innovation Delivery Squads. Responsible for all aspects from design to safe operational scale in various platforms.