Lead AI Engineer
LeadSquared · Bengaluru
- Experience4–6 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted15 Sept 2026
About LeadSquared
LeadSquared is hiring in Bengaluru in technology software. This role looks for around 4+ years of experience.
Skills
- Python
- LiveKit
- speech-to-text
- text-to-speech
- automatic speech recognition
- large language models
- real-time systems
- system architecture
- performance optimization
- reliability engineering
- scalability
- prompt engineering
- tool use
- AI evaluation
The role
A generative AI engineer at a conversational business software company designs real-time voice AI pipelines using Python, LiveKit, speech recognition, and large language models, optimizing low-latency interactions and conversational quality. The role also applies text-to-speech and technical architecture to scale reliable voice systems.
Full job description
Job DescriptionAbout UsWe're building the next generation of AI-powered business software. Our Voice AI application brings real-time conversational intelligence directly into customer and business workflows, combining low-latency speech pipelines with LLM-powered reasoning to get real work done through natural voice conversation.This is a chance to work on hard problems in real-time voice systems, speech-to-text and text-to-speech pipelines, and conversational AI orchestration, building zero-to-one, scaling one-to-ten, owning your area end-to-end, and shipping to production at scale.
About the RoleWe're looking for a Lead Voice AI Engineer to help build and scale our Voice AI application from the ground up. This is a hands-on, high-ownership role for someone who wants to be part of the full 0-1 and 1-10 journey — architecting core voice infrastructure early, then scaling it as usage grows. You'll work across the full voice stack in Python — STT, LLM, TTS, and ASR — built on the LiveKit framework, designing systems that feel natural, fast, and reliable in real-time conversation.
What You'll DoDesign, build, and scale real-time voice AI pipelines in Python using STT, TTS, ASR, and LLM components on the LiveKit frameworkOptimize for low-latency, high-reliability voice interactions, tuning the pipeline across speech recognition, language understanding, and speech synthesisDrive technical decisions on system architecture, reliability, performance, and scalability for real-time conversational workloadsLead by example — set engineering standards, review designs and code, and mentor engineers on the teamCollaborate closely with product, design, and AI/ML teams to translate business requirements into shipped functionalityWork directly with customers to understand real-world use cases, troubleshoot issues, and gather feedback to inform the roadmapContinuously improve conversational quality, latency, and voice interaction accuracy as the product scalesWhat We're Looking For4–6 years of software engineering experience, with strong, hands-on expertise in PythonPractical experience building voice AI systems using STT, TTS, ASR, and LLM components, ideally with the LiveKit framework or similar real-time frameworksDemonstrated experience operating systems at decent scale — designing for real-time performance, reliability, and growing usageSolid understanding of LLM fundamentals — prompting, tool use, reasoning, and evaluation in the context of conversational AIGenuine interest in and prior experience with early-stage, high-ownership environments — someone who's excited to build 0-1 and scale 1-10, not just maintain existing systemsAbility to take technical ownership and lead design/architecture decisions with minimal oversightComfort working in a fast-moving, high-ownership environment, balancing hands-on coding with technical leadershipExcellent communication skills — this is a customer-facing role, and you'll regularly engage directly with customers to understand needs and explain technical solutions