Company Description Quanto Neural is dedicated to revolutionizing the way businesses operate by leveraging the capabilities of AI agents. Our mission is to empower companies with AI-driven solutions that optimize processes and drive efficiency. We focus on providing intelligent and automated solutions that help businesses enhance their operational effectiveness. By harnessing the power of AI, Quanto Neural is at the forefront of innovation in the business technology landscape. Role Description This is a full-time role for an Artificial Intelligence Engineer. The Artificial Intelligence Engineer will be responsible for designing, developing, and implementing AI models to solve complex business problems. Day-to-day tasks include developing neural networks, conducting pattern recognition analysis, working with natural language processing (NLP) applications, and collaborating with cross-functional teams to integrate AI solutions into our software development processes. Qualifications Strong understanding of Neural Networks and Pattern Recognition Background in Computer Science and Software Development Experience with Natural Language Processing (NLP) technologies Solid understanding of AI algorithms and data structures Excellent problem-solving and analytical skills 1-3 years of experience in building AI agents Bachelor's degree or higher in Computer Science, Engineering, or related fields
Job Summary: We are looking for a skilled and product-focused AI Engineer to lead the end-to-end development and deployment of Conversational AI systems —both voice-based (phone calls) and chatbots . You will be responsible not just for building models, but also owning the full lifecycle of AI-driven communication products: from ideation and architecture to deployment, monitoring, and continuous improvement. This is a cross-functional role that requires strong technical expertise in AI/ML, NLP, and system design, along with a product mindset and execution capability. Key Responsibilities: Own the full product lifecycle of conversational AI tools—scoping, designing, building, testing, deploying, and maintaining solutions. Architect and implement voice bots and chatbots that interact naturally and contextually with users. Build and fine-tune NLP, NLU, LLMs, and RAG pipelines for voice and text interactions. Work with speech recognition (ASR) and text-to-speech (TTS) systems for real-time call automation. Integrate with telephony platforms (e.g., Twilio, Dialpad, Exotel) and messaging platforms (e.g., WhatsApp, Web, Messenger). Handle backend architecture, data flows, error handling, logging, performance monitoring, and latency optimization. Collaborate with product, design, and business teams to define and refine user flows and technical requirements. Deploy models in production using best practices in CI/CD, DevOps, and cloud platforms. Continuously monitor system performance, user feedback, and iterate based on data-driven insights. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related discipline. 3–6 years of experience in building and deploying production-grade AI/NLP applications. Proven experience in managing end-to-end AI product development —not just model-building. Strong programming skills in Python; experience with frameworks like PyTorch, TensorFlow, Hugging Face Transformers, LangChain. Solid experience with LLMs (e.g., GPT, Claude, Mistral) and deploying RAG-based architectures. Hands-on experience with voice tech : speech-to-text, TTS, telephony APIs, SIP/RTP protocols. Experience with cloud platforms (AWS, GCP, or Azure) and deployment pipelines (CI/CD, Docker, Kubernetes). Ability to write scalable, maintainable, and well-documented code. Strong understanding of backend systems and API integration. Nice to Have: Familiarity with chatbot frameworks (Dialogflow, Rasa, Botpress, etc.) Experience with vector databases (Pinecone, Weaviate, FAISS) and embeddings. Experience working in a fast-paced startup environment. Strong product thinking and ability to prioritize trade-offs between tech and business needs. Experience with analytics tools and observability platforms for real-time monitoring. What We Offer: Competitive compensation and ESOPs Opportunity to lead impactful products in the rapidly growing conversational AI space Flexible remote/hybrid work environment Autonomy, ownership, and support to bring your ideas to life Exposure to cutting-edge AI technologies and scalable systems How to Apply: Please submit your resume either on linkedin or email us at pkhanna@quantoneural.ai with the subject line: AI Engineer – Conversational AI