# Conversation AI Specialist

**Company**: Adobe
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/Bangalore/Conversation-AI-Engineer_R172109?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cf1917c1-e0d

## Description

We are looking for a Conversation AI Specialist who builds agentic, process-aligned dialogue systems , not scripted chatbots.

You will build the conversational intelligence layer of our advisor efficiency platform. It includes timely orchestration, intent reasoning, and LLM-powered assist systems that help advisors during complex customer interactions across chat, phone, and ecommerce. You will own the full conversation stack, from utterance to action.

## Key Responsibilities

- Agentic Conversation Design: Architect and build the conversational layer of our prompt-based agentic platform , including intent detection, dialogue orchestration, and multi-step reasoning flows aligned to advisor workflows.

- LLM Integration & Prompt Engineering: Design and maintain the prompt architecture that drives advisor-assist features , including context injection, tool-calling patterns, guardrails, and output validation.

- Advisor Assist Systems: Build real-time AI tools that surface relevant knowledge, suggest responses, and guide advisors through commerce, subscription, and support interactions.

- Process Mapping: Work with operations and product teams to deeply understand advisor business processes, then translate that understanding into conversation system design.

- Evaluation & Quality: Define conversation quality metrics, build evaluation datasets from real interaction logs, and operate a continuous improvement loop for deployed systems.

- Probabilistic Fallback Design: Design graceful degradation patterns , ensuring the system handles low-confidence states, ambiguous intents, and out-of-scope inputs without advisor disruption.

- Cross-platform Delivery: Integrate conversational AI features throughout chat, phone, and ecommerce advisor surfaces , maintaining coherent behavior across channels.

## Attitude & Approach We're Hiring For

Beyond technical skills, we are specifically hiring for three attitude shifts that define success in this role:

- Process-aligned composition: you build conversation flows that mirror advisor operational workflows , not abstract dialogue trees disconnected from how work actually happens.

- Probabilistic reasoning: you architect systems where intent is inferred, confidence is tracked, and ambiguity is handled gracefully rather than failing hard.

- Data-driven iteration: you measure conversation quality with data, not intuition , defining metrics, curating evaluation sets, and iterating based on evidence.

## Required Qualifications

- 3–5 years in conversational AI, NLP engineering, or LLM-based product development.

- Experience building dialogue systems with real business process alignment, not just scripted flows.

- Proficiency in Python and NLP tooling

- Strong understanding of intent classification, entity extraction, and context management in stateful conversations.

- Experience deploying conversational AI to production with real user traffic.

- Ability to build for uncertainty , confidence scoring, fallback handling, human-in-the-loop blocking issue.

## Preferred Qualifications

- Experience building agentic systems with tool use, function calling, or multi-step LLM orchestration. Familiarity with RAG for knowledge-grounded responses.

## Skills

### Required
- Python
- NLP
- conversational AI
- LLM
- intent classification
- entity extraction
- context management

### Nice to have
- agentic systems
- tool use
- function calling
- multi-step LLM orchestration
- RAG

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Source: [Apply at adobe.wd5.myworkdayjobs.com](https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/Bangalore/Conversation-AI-Engineer_R172109?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)