Role & responsibilities Handle calls and chats with inquiries related to products and services offered. Respond to multiple inbound calls or chats; gather and verify required information as appropriate. Perform basic troubleshooting steps according to the situation and coordinate with other departments when needed. Gather all required information while working on customers reason to contact and create cases based on every interaction and follow-up with customers or other departments until issue is completely resolved and case is closed. Basic knowledge about different troubleshooting ideas about Computer. Obtain all required information and relay the same to other departments as per the protocol. Be open and responsive to consistent coaching, take an active role in performance planning and goal setting. Be flexible in an environment by championing and embracing change. Preferred candidate profile Be Flexible in working hours which is a must. Have basic computer knowledge and ability to troubleshoot different situations. Comfort with and knowledge of how to use Microsoft Office, email etc. Excellent oral and written communication skills; An unerring attention to detail; The ability to multi-task answering numerous chats/calls and navigating smoothly between both mediums. A professional demeanor with the ability to take ownership of every chat, call or email and find a solution for every customer. The ability to think on your feet in a fast-paced environment where messages over chat, call and email come fast and furious; Experience working as part of a collaborative team we work together to make sure customers are able to use our products and services without any trouble and excellent experience is provided during every interaction. Any stream 12th Standard pass out / any stream Graduate / Blog Graduate with 18 year’s age along with Excellent Oral & Written Communication skills can apply.

Role & responsibilities: The role involves handling both inbound and outbound customer calls to address non-sales and sales-related concerns with professionalism and tact. It requires delivering quality service through in-depth product knowledge and effective communication via various technologies. Responsibilities include data entry, follow-ups to ensure customer satisfaction, and problem resolution. The position also involves initiating contact with potential U.S. business customers, conducting 90100 cold calls daily, managing objections, and using persuasive techniques to close sales or set appointments. Success is measured by consistently achieving sales targets and accurately recording customer interactions in CRM software, while collaborating closely with team members and leaders. Preferred candidate profile: 12th pass or Diploma candidates can apply; If candidate is graduate then it is an add-on. Excellent verbal & written communication and persuasion skills. Strong strategic thinking and negotiation abilities. High resilience and adaptability, capable of handling challenging sales situations and overcoming objections. Detail-oriented with a strong work ethic and organizational skills. Proactive, goal-oriented mindset with motivation to succeed in a competitive sales environment. Previous customer service or sales experience in a call center or BPO environment preferred. Working knowledge of operating systems, particularly Microsoft Windows 10, and a basic understanding of internet fundamentals. Familiarity with record management procedures is a plus. Effective analytical, problem-solving, and decision-making skills. Ability to access and research multiple sources of data. Ability to multitask and work effectively under pressure in a team-oriented, high-demand, fast-paced environment.

Role & responsibilities Should have a go-getter attitude in assisting the customers. Ensure customer's issues are attended and all their concerns are resolved immediately. Ensure customer's confidential information is adequately protected and only used for official purposes. Be flexible in an environment by championing and embracing change. Preferred candidate profile Must have B2 Level certification in Spanish language or equivalent bachelor's degree in Spanish. Open for relocation i.e. Gandhinagar, Gujarat. Ready to work in Rotational night shifts. Excellent communication skills (Spanish as well as English) Perks and benefits Transportation allowance Canteen Subsidy Night Shift allowance as per process Schedule Attendance Bonus Health Insurance Tuition Reimbursement Incentive components campaign wise Work Life Balance Initiatives Rewards & Recognition Internal movement through IJP

Title: AI Engineer Job Location: Gandhinagar Job Mode: Remote Shift Time: 2:30 PM to 11:30 PM IST Role Summary Were looking for a highly motivated AI Engineer with 35, good to have years of experience to help us build LLM-powered applications. This role is fully remote and will focus on using tools like LangChain, LangGraph, and open-source LLMs such as Ollama, LLaMA, Mistral, or Phi. You'll contribute to developing document understanding systems, intelligent chat agents, and multi-agent orchestration workflows. What you will be doing: Design, build, and deploy LLM-driven applications (e.g., document summarization, RAG-based QA, chatbots). Work with open-source LLMs using platforms like Ollama and Hugging Face. Implement LangChain and LangGraph workflows for multi-step, multi-agent task resolution. Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases. Collaborate with cross-functional teams to ship features to production. Stay up-to-date with the latest in open-source LLMs, model optimization (LoRA, quantization), and multi-modal AI. Required Skills 3–5 years of hands-on experience in AI/ML engineering. Proficient in Python, PyTorch, and Hugging Face Transformers. Proven experience with LangChain and LangGraph for LLM workflows. Familiarity with Ollama, Mistral, LLaMA, or similar open-source LLMs. Experience working with vector stores (Qdrant, Pinecone, Weaviate, FAISS). Skilled in backend integration using FastAPI, Docker, and cloud platforms. Solid grasp of NLP, LLM reasoning, prompt engineering, and document parsing. Nice-to-Have Experience with LangServe, OpenAI tool/function calling, or agent orchestration. Background in multi-modal AI (e.g., image + text analysis). Familiarity with MLOps tools (MLflow, Weights & Biases, Airflow). Contributions to open-source GenAI projects. Understanding of LLM safety, security, and alignment principles.