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Avaamo

Applied AI Engineer

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Job Description

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.

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About Company

Job ID: 147539115

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