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Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

First seen by Alion on Oct 30, 2026.

Overview
Company
Impact
Profile match
Exotel is a cloud telephony company that has created products for easy communication between companies and its customers via voice or SMS without any extra hardware. Clients - OLA, Redbus, Flipkart, Practo, etc.

About Us :

Exotel is a leading provider of AI transformation to enterprises for customer engagement and experience. With over 20 billion annual conversations across Omni channel, voice, agents and bots, Exotel is trusted by more than 7000 clients worldwide.

Tech @ Exotel :

Exotel engineering solves infrastructure level problems with a focus on fault-tolerant, loosely coupled, scalable and real-time distributed systems. We believe in "you built it, you own it!".

The Role :

You'll be part of the team building Exotel's AI and speech platform, powering products like Conversation Quality Analysis, AI Voice Agents, and AI Chat Agents.

What You'll Do :

- Build and optimize LLM-powered pipelines for analyzing conversations at scale.

- Work on speech processing : improving transcription accuracy and handling multilingual audio.

- Design and build AI agents that reason over enterprise data with appropriate guardrails.

- Develop and scale high-throughput, multi-tenant backend services.

- Own cost and observability for AI workloads.

What You Bring :

- Bachelor's or Master's degree in Computer Science or equivalent.

- 3 - 5 years of software engineering experience.

- Proficiency in at least one backend language (Python, Java, Go, or similar).

- Strong understanding of data structures, algorithms, multi-threading, and concurrency.

- Experience with microservices architecture and distributed systems.

- Hands-on experience with LLM APIs (OpenAI, Gemini, Azure, or similar).

- Experience with major cloud platforms (AWS, GCP, or Azure).

- Experience with containers and orchestration (Docker, Kubernetes) and CI/CD pipelines.

Why Exotel :

- Work on AI problems at real scale : billions of conversations, thousands of enterprise clients.

- High autonomy and ownership.

- Opportunity to work across the full AI stack : LLMs, speech, agents, infrastructure.

Skills

LLM, Python, Java, Golang, Data Structure, Algorithm, Microservices Architecture, Distributed Systems, Artificial Intelligence, Conversational AI, Speech Recognition

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