You are applying for the position of Support Lead / Customer Success Manager at Cloudbyz, a leading provider of unified eClinical solutions to Life Sciences and Consumer Research sectors. As a Support Lead, you will play a crucial role in managing a team of support engineers to provide 24/7 technical support for Salesforce configurations and development-related issues, ensuring exceptional customer satisfaction and efficient resolution of technical issues. **Key Responsibilities:** - Lead and manage a team of support engineers to provide 24/7 technical support for Salesforce configurations and development-related issues. - Oversee day-to-day operations of the support team, ensuring timely and effective resolution of customer issues. - Act as a primary point of contact for escalated customer issues and ensure prompt and satisfactory resolutions. - Develop and implement support processes and procedures to enhance team efficiency and customer satisfaction. - Monitor team performance, provide coaching and mentoring, and conduct regular performance reviews. - Collaborate with cross-functional teams, including product development, to address complex technical problems and improve product functionality. - Analyze support metrics and customer feedback to identify areas for improvement and implement corrective actions. - Ensure proper documentation and maintenance of customer interactions and technical procedures in the ticketing system. - Foster a customer-centric culture within the support team, promoting best practices and continuous improvement. **Qualifications:** - Bachelor's degree in Computer Science, Information Technology, or a related field. - Over 5 years of experience in a customer support or customer success role, with at least 3 years in a leadership position. - Expertise in Salesforce administration, configuration, and development, including Apex, Visualforce, Lightning components, and Salesforce APIs. - Proven ability to manage and lead a technical support team in a fast-paced, dynamic environment. - Strong problem-solving skills and ability to troubleshoot complex technical issues. - Excellent communication skills, both written and verbal, with the ability to convey technical information to non-technical users. - Experience with IT service management (ITSM) tools and practices. - Ability to work in rotational shifts, including nights and weekends. If you are looking for a dynamic work environment where you can lead a team that is revolutionizing clinical research operations globally, join us at Cloudbyz and take advantage of competitive salary and benefits, opportunities for professional growth, and the chance to work with cutting-edge technologies in the life sciences industry.,
AI Engineer AI Agent Development Location: Bengaluru, INDIA AI Engineer AI Agent Development At Cloudbyz, our mission is to empower our clients to achieve their business goals by delivering innovative, scalable, and intuitive cloud-based solutions that enable them to streamline their operations, maximize efficiency, and drive growth. We strive to be a trusted partner, dedicated to providing exceptional service, exceptional products, and unparalleled support, while fostering a culture of innovation, collaboration, and excellence in everything we do. Subcribe to our newsletter ISO 9001:2015 and ISO 27001:2013 Certified
AI Engineer AI Agent Development Location: Bengaluru, INDIA Role Type: Full-Time About The Role We are seeking a highly motivated AI Engineer with 13 years of hands-on experience building and deploying AI Agents using Google AI Agent Platform (Vertex AI) or AWS Bedrock. This role is ideal for an engineer passionate about building applied AI solutionsincluding intelligent agents, automation flows, RAG pipelines, and enterprise-grade AI micro-services. You will be part of a fast-paced product and innovation team responsible for designing, developing, and scaling AI Agents that automate real business workflows across life sciences, healthcare, consumer products, and enterprise systems. Key Responsibilities AI Agent Development Design, develop, and deploy production-grade AI Agents using Google Vertex AI Agents or AWS Bedrock Agents. Build end-to-end AI agent workflows including LLM orchestration, tool invocation, guardrails, and monitoring. Implement RAG (Retrieval-Augmented Generation) pipelines for dynamic and context-aware agent responses. Integrate AI Agents with enterprise applications, APIs, data sources, and external tools. AI Engineering & Architecture Build scalable backend components using Python, FastAPI/Flask, and microservice patterns. Develop and integrate RESTful APIs and secure agentsystem interactions. Implement model evaluation, prompt engineering, embeddings, hallucination controls, and response validation. Work across Vector Databases (Pinecone, ChromaDB, Milvus, Weaviate) and RDBMS (PostgreSQL, MySQL). LLM & Platform Engineering Fine-tune, optimize, and evaluate LLMs for accuracy, safety, and performance. Leverage Google Vertex AI (Model Garden, Vector Search, Agents, Workbench) or AWS Bedrock (Agents, Guardrails, Knowledge Bases). Collaborate with product teams to understand use cases and convert them into AI agent workflows. Quality, Monitoring & MLOps Deploy AI agents to production using CI/CD, containerization (Docker), and cloud deployment best practices. Implement logging, monitoring, evaluation pipelines, and feedback loops to ensure reliability. Apply security, privacy, and responsible AI principles (PII handling, content filters, guardrails). Required Skills & Experience 1 to 3 years of hands-on AI Agent development experience. Successfully developed and deployed at least one AI Agent into production. Hands-on experience with Google Vertex AI, AWS Bedrock, LLMs, and RAG pipelines. Strong experience with Vector Databases (Pinecone, Weaviate, Chroma, Milvus) and RDBMS. Proficiency in Python for backend and AI development. Experience with API development (FastAPI, Flask, API Gateway, Cloud Functions, Lambda). Familiarity with prompt engineering, embeddings, and LLM evaluation. Strong understanding of cloud platforms (Google Cloud or AWS). Experience handling unstructured data (documents, PDFs, images, JSON, logs). Nice-to-Have Skills Experience with Google AI Studio, Vertex AI Search & Conversation, or Vertex AI Extensions. Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar AI orchestration frameworks. Exposure to MLOps tools (Vertex Pipelines, AWS SageMaker, MLflow). Knowledge of GenAI safety, guardrails, PII redaction, and content filters. Experience building multi-agent systems. Understanding of event-driven architectures (Pub/Sub, SQS, EventBridge). Familiarity with frontend frameworks (React) to support simple agent UI prototypes. Soft Skills & Work Style Ability to work in a fast-paced, startup-like environment. Strong problem-solving mindset with ownership of end-to-end delivery. Excellent communication and documentation skills. Ability to collaborate cross-functionally with product managers, designers, and engineering leaders. Passion for innovation, experimentation, and pushing the boundaries of applied AI. Why Join Us? Work on cutting-edge applied AI technologies. Opportunity to build real-world AI agents used by global enterprises. Fast-paced environment with room for rapid growth. Be part of an AI Innovation Lab shaping the future of life sciences and enterprise AI.