HR Pundits Inc

About the Company

HR Pundits Inc. provides Complete HR Solutions also offers end to end SAP and SuccessFactors implementation, enhancement upgrades, production support and training. Currently our consultants are providing services in USA, Canada and Australia. Our workforce is experienced in providing end-to-end solutions - Business Requirement Analysis, Cost analysis and Project execution. We rate ourselves as No. 1 in providing SAP HCM & SuccessFactors training in US. Our rigorous, detailed, and practical scenario-based training has helped hundreds of candidates to become successful SAP & SuccessFactors consultants. Our training is conducted throughout the year with new batches beginning once in every two weeks. We focus on providing training to the corporations and individuals in the areas of their needs. Our training division has trained around 1000 plus consultants in US and Canadian markets. We provide end-user training as well as configuration training. We always view that proper training is needed for the users to use the system effectively and efficiently. HR Pundits Inc specialises in the following areas of SAP & SuccessFactors: Projects Auditing Projects Maintenance Enhancements Corporate and Individual Training

Listed Jobs

Company Name

HR Pundits Inc

Job Title

Lead Salesforce Developer

Job Description

Job title: Lead Salesforce Developer Role Summary: Lead architect and delivery manager for Salesforce initiatives in a complex, regulated environment, driving design, development, and deployment of scalable solutions using platform capabilities, Apex, Lightning Web Components, flows, and configuration. Expectations: - Lead and mentor a high‑performing development team. - Translate business requirements into technical specifications and robust Salesforce artefacts. - Ensure code quality, security, and compliance with industry standards. - Manage multiple concurrent projects, prioritize tasks, and meet deadlines in a fast‑changing setting. Key Responsibilities: - Design, develop, and maintain custom Salesforce solutions (Apex, LWC, Visualforce, flows, batch/queueable jobs). - Architect integrations with external systems, data ingestion pipelines, and CRM/Contact Center platforms. - Define and enforce Salesforce configuration best practices, security models, and licensing requirements. - Serve as subject‑matter expert on Service Cloud, Health Cloud, and Experience Cloud capabilities. - Conduct code reviews, performance tuning, and troubleshooting of technical issues. - Collaborate with stakeholders, product owners, and cross‑functional teams to refine requirements. - Lead architecture and implementation reviews, ensuring alignment with enterprise strategy. - Mentor junior developers, provide technical guidance, and promote knowledge sharing. - Stay current with Salesforce product releases, features, and industry trends to recommend improvements. Required Skills: - 10+ years of software development experience, with 5+ years in Salesforce development. - Advanced proficiency in Apex, Lightning Web Components, Visualforce, Flows, SOQL/SOSL, batch/queueable jobs. - Deep knowledge of Service Cloud, Health Cloud, Experience Cloud, security architecture, and integration patterns. - Strong analytical and problem‑solving abilities; ability to diagnose and resolve complex issues quickly. - Excellent communication, stakeholder management, and presentation skills. - Demonstrated mentoring and leadership within development teams. - Ability to multitask, prioritize, and adapt to changing business priorities. - Familiarity with healthcare delivery or regulated industries preferred; CRM/Contact Center experience a plus. Required Education & Certifications: - Bachelor’s degree in Information Systems, Computer Science, clinical/health focus, or equivalent experience. - Salesforce certifications strongly preferred: Platform Developer I/II, Application Architect, System Architect.

Chicago, United states

Remote

Senior

19-01-2026

Company Name

HR Pundits Inc

Job Title

Google Cloud ML Engineer- Vertex AI

Job Description

**Job Title:** Google Cloud ML Engineer – Vertex AI **Role Summary:** Build and maintain advanced chat virtual agent frameworks on Google Vertex AI. Lead the end‑to‑end machine‑learning lifecycle—design, develop, fine‑tune, deploy, and integrate NLP and Generative AI models—including LLMs and Retrieval‑Augmented Generation (RAG) pipelines—within GCP environments and CRM ecosystems. **Expectations:** - 5–7 years of software engineering experience, 4+ in NLP/NLU. - Proven expertise in Vertex AI, Agent Engine, ADK, and Model Garden. - Hands‑on training, fine‑tuning, and deployment of custom LLMs and transformer models. - Working knowledge of GenAI products (PaLM, Gemini). - Ability to integrate virtual agents with CRM, knowledge bases, and live‑agent systems. - Strong grasp of GCP services and cloud‑native architecture. - Excellent problem‑solving, documentation, and cross‑team collaboration skills. **Key Responsibilities:** - Architect scalable chat‑agent solutions using Vertex AI Agent Engine and ADK. - Design, train, fine‑tune, and deploy transformer, RAG, and custom LLM models on Vertex AI. - Integrate virtual agents with CRM platforms, knowledge bases, and live‑agent workflows via APIs and secure authentication. - Monitor, analyze, and optimize model performance and latency in production. - Maintain configuration, versioning, and deployment pipelines (Git, CI/CD, Cloud Functions). - Evaluate emerging GenAI frameworks and recommend enhancements to the architecture. **Required Skills:** - Vertex AI Agent Engine, ADK, Model Garden. - NLP/NLU with transformers, RAG, retrieval systems. - Training & deployment of custom LLMs on GCP. - GCP services: Cloud Storage, BigQuery, Pub/Sub, Cloud Functions, AI Platform, IAM. - Programming: Python, TensorFlow/PyTorch, gcloud SDK. - API design, OAuth, OpenID Connect. - Version control (Git), CI/CD, Agile/Scrum. - Strong analytical, debugging, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Applied Mathematics, or related field (Master’s/PhD preferred). - Google Cloud Certified – Professional Machine Learning Engineer (mandatory). - Familiarity with GenAI frameworks (PaLM, Gemini) and related GCP certifications is preferred.

Dallas, United states

On site

26-01-2026