Convo & Agentic AI Developer -Associate 2
PwC (company site, opens in a new tab)2–5 yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain conversational AI components such as intents, entities, dialog flows, and NLU models on one or more CCaaS platforms.
- Develop and deploy LLM-powered agents with multi-step reasoning and integrate with backend systems using RAG architectures and APIs.
- Own end-to-end lifecycle of voicebot/chatbot solutions including design, development, testing, deployment, performance monitoring, and optimization across multiple platforms.
Minimum Requirements
- Bachelor's or Master's degree in Engineering/Technology from a premier technical school.
- 2 to 5 years of relevant work experience in conversational AI development and CCaaS platforms.
- Hands-on experience with at least one CCaaS platform (e.g., NICE CXone, Genesys Cloud, Amazon Connect) and NLU engines (e.g., Dialogflow, Amazon Lex).
- Proficiency in programming languages such as Python or JavaScript and knowledge of APIs, cloud services, and conversational AI frameworks.
Ideal Candidate Profile
- Experienced in independently owning at least one end-to-end conversational or agentic AI deployment from design through go-live.
- Skilled in applying LLM frameworks, prompt engineering, multi-agent orchestration, and RAG techniques within contact center environments.
- Capable of collaborating effectively with cross-functional teams including solution architects, QA, DevOps, and product owners under Agile methodologies.