Artificial Intelligence Engineer

Quanteon Solutions is a technology-driven company building scalable, innovative, and business-focused digital solutions across domains such as FinTech, HealthTech, HRMS, CRM, and Enterprise Platforms. We strongly believe in leveraging AI, Generative AI, and Voice AI to solve real-world business problems and create high-impact products for our clients.

We are looking for a highly skilled AI Engineer with 3+ years of experience and strong hands-on expertise in Generative AI (Gen AI) and Voice AI technologies . The ideal candidate will play a key role in designing, developing, and deploying AI-driven solutions such as conversational agents, voice bots, intelligent assistants, and Gen AI-powered enterprise applications for Quanteons clients and internal products.

• Design, develop, and deploy Generative AI solutions using LLMs for enterprise and client use cases
• Build and optimize Voice AI systems , including speech-to-text (STT), text-to-speech (TTS), and conversational voice bots
• Develop AI-powered applications such as chatbots, voice assistants, call automation systems, and intelligent agents
• Implement prompt engineering , RAG (Retrieval-Augmented Generation), and fine-tuning techniques
• Integrate LLMs with backend systems, APIs, databases, and third-party tools
• Work with frameworks such as LangChain, LlamaIndex, or similar orchestration tools
• Design and manage vector databases (Pinecone, FAISS, Weaviate, ChromaDB, etc.)
• Optimize AI solutions for performance, latency, scalability, and cost efficiency
• Collaborate with product managers, developers, QA, and clients to deliver AI-driven features
• Participate in architecture discussions and provide technical guidance for AI implementations
• Ensure data privacy, security, and responsible AI practices are followed
• Stay updated with emerging trends in Gen AI, Voice AI, and conversational AI

• 3+ years of experience in AI/ML Engineering or Applied AI Development
• Strong hands-on experience with Generative AI models (OpenAI, Anthropic, Gemini, LLaMA, Mistral, etc.)
• Proven experience in Voice AI technologies , including:
• Speech-to-Text (Whisper, Deepgram, Google STT, Azure Speech)
• Text-to-Speech (Amazon Polly, Azure TTS, ElevenLabs, Google TTS)
• Voice bots, conversational IVR, or call automation systems
• Strong proficiency in Python (mandatory); Node.js is a plus
• Solid experience with prompt engineering, embeddings, RAG pipelines
• Hands-on experience with vector databases and semantic search
• Experience integrating AI solutions using REST APIs, WebSockets, or streaming pipelines
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with Docker, CI/CD pipelines, and production deployments
• Good understanding of NLP concepts, ML fundamentals, and model evaluation
• Strong analytical, communication, and client-interaction skills