All Jobs/Gnani.ai
Gnani.ai
Engineering💼 FullTime

Voice AI Agents for Gnani.ai

Gnani.ai
2 months ago
Location

Not specified

Salary

Competitive

Apply By

ASAP

Views

35

Eligible Batches

🎓 2026 Batch

Job Description

Join Gnani.ai's innovative team as a Voice AI Agent to develop and implement AI-powered voice assistants for enterprises. Leverage your technical skills and creativity to drive business success.

Roles & Responsibilities

Design and develop AI-powered voice assistants for various industries Collaborate with cross-functional teams to integrate voice assistants with enterprise systems Conduct thorough testing and quality assurance to ensure flawless voice assistant functionality

Requirements

Strong Python programming skills Experience with natural language processing (NLP) and machine learning (ML) Proficiency in using popular AI frameworks like TensorFlow or PyTorch Excellent problem-solving skills and attention to detail Good communication and collaboration skills

Eligibility Criteria

B.Tech/B.E. 2026 Batch

Tech Stack & Ecosystem

VoiceAIAgenticLLMsSLMsOmnichannelMulti-lingualLow LatencyNo-CodeBuilderIntelligentKnowledge BaseRapidDeploymentPersistent MemoryOrchestration CorePre-BuiltFlowsInya WorkforceOmnichannelAIautomationAgentFeatures

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Quick Info

TypeFullTime
RoleN/A
Work Mode🏢 On-site
Eligible Batches
2026

Tech Stack

VoiceAIAgenticLLMsSLMsOmnichannelMulti-lingualLow Latency+16

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Career Advice

Company Insights

Working at Gnani.ai as a Voice AI Agent offers a unique opportunity to be at the forefront of AI innovation. You'll get to design and develop cutting-edge voice assistants that transform businesses and improve customer experiences. With a focus on collaborative work and continuous learning, Gnani.ai fosters a dynamic environment that nurtures your growth and career development. By joining this team, you'll become part of a community that pushes the boundaries of AI and drives business success.

Interview Guide

To prepare for your Voice AI Agent interview at Gnani.ai, focus on showcasing your technical expertise in Python and popular AI frameworks like TensorFlow or PyTorch. Demonstrate your understanding of NLP and ML concepts by sharing specific examples of projects or problems you've solved. Prepare thoughtful questions about the company's AI initiatives, and highlight how your skills and experience align with their goals. Additionally, be ready to discuss your problem-solving approach and how you would handle ambiguous or complex AI-related challenges.