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Applied AI Engineer

Avaamo -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Azure
Node.js
Law
Computer Science
Multilingual
Master's degree
Microservices
AWS
IVR
Bachelor's degree
JavaScript
REST
Natural language processing
UX
APIs
AI
Copywriting

Full job description

Job 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

About Avaamo

Avaamo is a leading enterprise Agentic AI platform that enables organizations to deploy autonomous, agentic digital workers across healthcare, customer service, HR, and supply chain.

Powered by LLMs, multi-agent orchestration, vector memory, and deep NLU, our Avaamo Agents deliver intelligent, 24/7 operations with enterprise-grade compliance, multilingual support, and deep system integration.

Recognized by top analysts and trusted by global brands, Avaamo is redefining automation by delivering AI that can understand, reason, and execute within real business workflows.

Apply Now

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