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Mid-level generic software title, metro location, but specialized speech/LLM skills reduce applicant density.
Role requires niche voicebot, ASR/TTS, and fine-tuning experience making industry transfers difficult.
Explicit 2-4 years plus mandatory ML, fine-tuning, ASR/TTS, and production ownership makes filters strict.
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Build, maintain, and improve Exotel's real-time voice AI product focusing on LLM fine-tuning, evaluation frameworks, and live conversational quality.
Own end-to-end software development lifecycle of voicebot features including design, evaluation, deployment, and monitoring in production environments.
Benchmark and optimize LLMs and ASR/TTS engines on cost, latency, and quality to deliver measurable improvements in customer call experience.
2-4 years of software/ML engineering experience with exposure to production systems, with proven ownership of live deployments.
Strong Python programming skills with ability to write production-level code.
Hands-on experience with LLM evaluations and fine-tuning methods including PEFT/LoRA/QLoRA on open-weight models for domain-specific tasks.
Knowledge of speech recognition and synthesis evaluation metrics (WER, latency), along with understanding of neural architectures (ANNs, transformers).
Experienced engineer comfortable independently taking scoped AI/ML problems to production without daily unblocking.
Deep technical understanding of voicebot AI model layers and evaluation framework design to diagnose and resolve real-time conversation failures.
Analytical and data-driven, with rigor in measurement and benchmarking best model and prompt changes for live AI-driven voice applications.