Applied AI Engineer

Avaamo · Bangalore

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Last observed by our collector: 9 October 2026 at 12:43 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: applied-ai-engineer

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Collected role description

We are looking for a talented Applied AI Engineer to help design, build, and optimize intelligent conversational systems (chatbots, virtual assistants, voice interfaces) that deliver human-like, context-aware, and personalized user experiences. You will collaborate with cross-functional teams including NLP researchers, software engineers, product managers, and UX designers to bring conversational AI products to life. 🎯 Responsibilities Design, develop, and deploy conversational agents using Avaamo platform. Fine-tune large language models for task-specific applications. Integrate conversational agents with APIs, backend services, and third-party systems. Optimize natural language understanding (NLU) and dialogue management (DM) for contextual accuracy and user experience. Analyze user conversations and logs to iteratively improve bot performance. Develop and implement fallback, escalation, and handoff strategies. Ensure accessibility, multilingual support, and privacy compliance. Collaborate with UX teams to script, test, and validate conversation flows. Monitor and maintain bot performance in production environments. Stay current with advancements in LLMs, speech recognition, and NLP technologies. 🛠 Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, or a related field. 2-5+ years of experience in building conversational AI systems or chatbots. • Proficient in JavaScript, Node.js or other scripting languages. Familiarity with NLP/NLU libraries and tools (SpaCy, Hugging Face, Rasa, NLTK). Familiarity with LLMs (OpenAI, Claude, LLaMA, etc.) and prompt engineering. Strong understanding of RESTful APIs, microservices, and backend integration. Experience with cloud platforms (AWS, GCP, Azure) and deployment pipelines. Ability to work with structured and unstructured data, conversational logs, etc. ⭐ Preferred Qualifications Experience with voice-based platforms (e.g., Alexa Skills Kit, Google Assistant, IVR). Knowledge of Reinforcement Learning, Transformers, or Retrieval-Augmented Generation (RAG). Understanding of multilingual NLP and internationalization. Experience with analytics tools to measure bot performance (Dialog analytics, dashboards, etc.). UX writing or conversational copywriting experience. Nice to Have Experience supporting GenAI or agentic AI applications in production, built using Dialogflow, Rasa, Microsoft Bot Framework, or custom NLP pipelines. Familiarity with LLM orchestration, prompt reliability, or RAG systems Passion for automation and building resilient AI-powered platforms infrastructure Exposure to managing infra structure for applications like Lang Chain, AutoGen, or similar agent orchestration frameworks Why Join Avaamo Shape the next generation of agentic AI applications Work on cutting-edge Infra where RAG systems deployed at scale Join a dynamic, collaborative, and mission-driven team Enjoy competitive pay, great culture, and a forward-looking product roadmap

Collected experience requirement

5+ years