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Salary
$26k – $71k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Skit.ai builds voice artificial intelligence agents for contact centre conversations. Its systems handle collections, verification and customer service calls autonomously. The company serves financial services clients in India and the United States.

About us:

Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. Skit.ai’s Collection Orchestration Platform, the world’s first solution, streamlines collection conversations by syncing channels and accounts. Skit.ai’s Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. Skit.ai has received several awards and recognitions, including the BIG AI Excellence Award 2024, Stevie Gold Winner 2023 for Most Innovative Company by The International Business Awards, and Disruptive Technology of the Year 2022 by CCW. Skit.ai is headquartered in New York City, NY. Visit https://skit.ai/

Role Overview

Job Title: Forward Deployed AI Engineer

Location: Bangalore (100% WFO)

Experience: 3-4 years

Type: Full-time

Mission: The Special Forces. Bridge Core Research and Client Reality. Architect solutions, don't just configure.

Tech Stack

  • Python
  • LLM Architecture patterns
  • ASR/TTS Configurations
  • RAG (Retrieval Augmented Generation)

Key Responsibilities

  • Architecture, Not Just Prompts
    • Understand model limitations deeply
    • Design Training Data Templates
    • Build RAG retrieval logic for banking domain
  • Deep Configuration - Must have
    • Tune ASR Endpointing settings
    • Configure VAD thresholds
    • Adjust TTS prosody for specific use cases
    • Go beyond just setting the language
  • Deployment
    • Write Python integration code
    • Integrate bot into bank's workflow
    • Own 'Bot Performance' end-to-end

Requirements

  • 3-4 years experience in AI/ML deployment
  • Strong Python coding skills
  • Understanding of LLM architecture and limitations
  • Experience with ASR/TTS systems configuration
  • RAG implementation experience
  • Client-facing technical communication skills
  • Self-directed problem solver

What We're NOT Looking For

  • 'I'm a Prompt Engineer' - we need Engineers who can code
  • Support Engineers - this is a dev role
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