Applied AI Scientist Agentic Systems

We are hiring an Applied AI Scientist to build and deploy next-generation AI systems powered by large language models, voice, and multimodal capabilities. This is a hands-on product-focused role where you will design, prototype, and ship agent-based systems that solve real-world business problems. You will work at the intersection of AI engineering and product development, taking ideas from concept to production. The role requires strong ownership, fast iteration, and the ability to work in a high-impact, fast-paced environment. What You Will Do Design, build, and deploy AI agents across chat, voice, and multimodal platforms Develop and optimize agent workflows using LLMs, tools, memory, and state management Build end-to-end conversational systems, including chat agents and real-time voice agents Implement voice pipelines including speech-to-text (ASR), text-to-speech (TTS), turn-taking, and interruptions Work on multilingual systems, especially optimizing performance for Indian languages Build intelligent workflow automation systems powered by AI agents Develop agent-based task execution systems capable of planning, action, and validation Create AI-driven systems for content generation, campaign automation, and user engagement Design persona-based AI systems to personalize interactions and outcomes Implement safeguards including moderation, monitoring, and control mechanisms Improve system reliability by reducing hallucinations and handling edge cases Add observability, logging, and debugging mechanisms for AI behavior in production Collaborate closely with product, engineering, and design teams to ship impactful features Required Qualifications 3 to 7 years of experience in AI/ML or applied AI roles Strong hands-on experience building applications using LLMs and generative AI Experience with conversational systems such as chatbots or virtual assistants Solid understanding of agent architectures including tool usage, memory, and state handling Experience integrating AI models and APIs into production systems Familiarity with backend development and system integration Strong problem-solving and debugging skills, especially for real-world AI behavior Ability to prototype quickly and iterate based on product requirements Comfortable working in fast-paced, product-driven environments Preferred Skills Experience building voice-based AI systems or working with speech technologies Exposure to Indian language NLP or multilingual AI systems Knowledge of RAG systems, embeddings, and vector databases Familiarity with agent orchestration or workflow automation frameworks Understanding of marketing technology, campaign automation, or customer lifecycle systems Experience building personalization or persona-based AI systems Background in SaaS products with real users and scalability considerations Key Technologies Machine Learning and Deep Learning NLP and Generative AI Large Language Models (LLMs) Computer Vision (nice to have) Speech AI (ASR, TTS) Vector Databases and Retrieval Systems Agent Frameworks and Workflow Orchestration What You Will Gain Opportunity to work on cutting-edge AI systems with real-world impact Ownership of end-to-end AI product development Exposure to advanced technologies in agentic AI, voice, and multimodal systems A high-growth environment with fast learning cycles Collaborative culture with strong focus on innovation and execution Who Should Apply This role is ideal for candidates who enjoy building AI systems that go beyond prototypes and are deployed in real products. If you are passionate about LLMs, agent-based architectures, and solving complex real-world problems, this opportunity will be a strong fit. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.