Atlys is hiring for the position of Voice AI Intern in New Delhi, Delhi, India. This opportunity is suitable for candidates interested in Generative AI, Voice AI, LLMs, RAG, AI Agents, STT, TTS, and conversational AI.
Job Overview
| Particular | Details |
|---|---|
| Company | Atlys |
| Job Role | Voice AI Intern |
| Job Type | Internship |
| Department | Software Engineering / Data Science |
| Location | New Delhi, Delhi, India |
| Experience | Internship / Freshers / Relevant Project Experience |
| Education | Relevant technical background preferred |
| Skills Required | LLMs, RAG, AI Agents, APIs, STT, TTS |
| Work Area | Voice AI / Conversational AI / Customer Support |
| Posted Date | August 12, 2026 |
| Application Status | Open – Check official listing |
| Salary | Not specified in the provided job description |
| Equity | Mentioned in job description |
| Relocation Support | Available |
| Company | Atlys |
| Official Application | Apply through the Atlys job listing |
About Atlys
Atlys is an AI-first travel company working to make international travel easier by reducing paperwork, uncertainty, and other travel-related friction.
The company states that it has processed visas for 1M+ travellers across 127 countries.
About the Job
Atlys is looking for a Voice AI Intern to help build AI-powered voice agents for customer support.
The intern will work on systems that can understand travellers, communicate naturally, reason about customer problems, and resolve queries through voice conversations.
This role is focused on real-world AI systems, rather than only theoretical research or experimental demos.
Key Responsibilities
- Build and improve real-time Voice AI systems.
- Work with Speech-to-Text (STT) and Text-to-Speech (TTS).
- Work with LLMs and prompting.
- Improve AI agent orchestration.
- Handle interruptions during conversations.
- Improve performance with different accents and speaking styles.
- Handle background noise and unpredictable conversations.
- Analyse real customer conversations.
- Identify AI failure patterns.
- Improve prompts, tools, models, and conversation flows.
- Build evaluation systems for voice agents.
- Measure latency, accuracy, naturalness, hallucinations, and resolution quality.
- Determine when an AI agent should transfer a customer to a human.
- Connect AI agents with Atlys systems and knowledge.
- Prototype and ship improvements to real customer workflows.
Required / Preferred Skills
Candidates should have an understanding of, or willingness to learn:
- Python
- APIs
- LLMs
- Prompt Engineering
- RAG
- Tool Calling
- AI Agents
- Model Evaluation
- Speech-to-Text
- Text-to-Speech
- Conversational AI
Having a personal AI project, chatbot, voice assistant, hackathon project, or conversational AI application can be useful for this role.
Who Can Apply?
This role may be suitable for:
- Students
- Fresh graduates
- AI/ML developers
- Software engineering students
- Developers with LLM project experience
- Candidates with conversational AI projects
- Candidates interested in Voice AI and Generative AI
The job description emphasizes practical ability, curiosity, API experience, and the ability to quickly build and debug working prototypes.
Important Technologies
| Technology / Concept | Relevance |
|---|---|
| LLM | Understanding and generating natural-language responses |
| STT | Converting customer speech into text |
| TTS | Converting AI responses into speech |
| RAG | Retrieving information from company knowledge |
| Tool Calling | Connecting the AI agent with external systems/APIs |
| AI Agents | Reasoning and performing actions |
| Prompt Engineering | Improving agent responses and behavior |
| Evaluation | Measuring agent quality and reliability |
| APIs | Connecting AI systems with other applications |
Salary & Benefits
The provided job description does not specify a fixed internship salary.
Atlys mentions the following benefits:
- Competitive compensation
- Equity
- Health insurance
- Annual preventive health check-up
- Paid leave and company holidays
- Lunch, high tea, and dinner
- Learning and development credits
- Relocation support
- High-spec equipment and software
- Recreational facilities at the office
How to Prepare
Candidates preparing for this role should focus on:
Python → APIs → LLMs → Prompt Engineering → RAG → Tool Calling → AI Agents → STT → TTS → Voice AI → Evaluation
A strong portfolio project would be a Voice AI Customer Support Agent that follows this architecture:
Speech → STT → LLM/Agent → RAG/Tools → Response → TTS → Speech
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