Applied AI Engineer

We are looking for a talented applied AI engineer to help design, build, and optimise intelligent conversational systems (chatbots, virtual assistants, and voice interfaces) that deliver human-like, context-aware, and personalised 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 the Avaamo platform.
• Fine-tune large language models for task-specific applications.
• Integrate conversational agents with APIs, backend services, and third-party systems.
• Optimise natural language understanding (NLU) and dialogue management (DM) for contextual accuracy and user experience.
• Analyse 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.

Requirements

• 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.

This job was posted by Taanya Machaiah from Avaamo.