Quantanite

Andheri, Mumbai

Position OverviewThe Senior AI Engineer reports to the Head of Technology and is responsible for the entire lifecycle of AI solutions, from design to deployment. This includes using multi-agent workflows, advanced knowledge retrieval, and large language models to solve enterprise challenges, thereby improving business efficiency, innovation, and strategic decision-making. The role involves leading projects such as AI Copilots, Enterprise Search Solutions, Summarization Engines, and Intelligent Automation Tools, ensuring they are robust, scalable, and production-ready. A key aspect of the role is mentoring junior AI Engineers and maintaining high engineering standards. This is a full-time hybrid position based in Mumbai.Key ResponsibilitiesCore Functional Responsibilities Build and deploy agentic systems and multi-agent workflows using frameworks like LangChain, LlamaIndex, and OpenAI SDK. Develop RAG pipelines using embeddings and vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant). Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) using techniques like LoRA/QLoRA and quantization. Ensure solutions are secure and compliant, with guardrails, safe API usage, and PII protection. Implement agent monitoring and evaluation with tools like LangSmith or AgentOps to track and improve performance. Deliver real-world enterprise use cases such as AI copilots, workflow orchestration, and intelligent search systems. Mentor junior AI Engineers, reviewing their work, sharing best practices, and supporting their growth. Collaborate with product, data, and DevOps teams to bring AI solutions to production at scale. Demonstrated knowledge of agentic AI frameworks - Practical experience in Small Language Model (SLM) implementation.Required Skills & ExperienceGeneral & Cross-Functional Strong knowledge of LLMs and Gen-AI applications, with hands-on experience in fine-tuning and prompt engineering. Proven experience in RAG pipelines and working with vector databases. Practical expertise in agent frameworks (LangChain, LlamaIndex, etc.) and multi-agent orchestration. Ability to deploy and scale models on cloud platforms (AWS, Azure, HuggingFace, etc.). Proficiency in Python or similar programming languages. Experience with LLMOps (monitoring, evaluation, cost optimization). Strong track record of delivering enterprise-grade AI solutions, not just prototypes. Familiarity with agent monitoring/debugging tools (LangSmith, AgentOps). Experience mentoring or guiding junior engineers in a technical team. (Bonus) Experience fine-tuning open-source LLMs or contributing to community projects. (Bonus) Exposure to autonomous agent use cases such as research copilots or intelligent task orchestration

1. Handle calls from Client and make reservations onto the online portal.2. Allocation of Booking3. Confirm reservation details to Clients.4. Follow up with drivers for pre-journey confirmation asper fixed schedule and vehicle readiness.5. Update portal with dispatch details.6. Maintain strict SLA/TAT for all activities7. Attend to and provide customer with a solution to anyqueries/complaints.8. Must discuss every matter with its supervisor or teamleader to get any issue sorted.9. Coordinate with Vender management departmentand administrative department for billing/vendorrelated queries.10. Should be confident in troubleshooting any suchemerging queries and maintaining high standards ofService.11. Prior Service industry experience preferred.

Build customer long term business relationship.Manage customer communications, queries and escalations.Resolve customer issues and complaints on timely manner.Improve customer care service and quality measurements.Supervise customer service team daily and prepare plans for improvements.Focus on customer satisfaction and make customer query/solutions analysis reports.Identify customer demands and requirements.Develop plans to address customer specific needs.Offer exceptional customer service to customers.Take feedback from customers to ensure they are satisfied with the service.Coordinate with internal functional departments for timely services operations and take follow ups. Handle other job responsibility as per management allocation.