AI Engineer

Overview

We are looking for an AI Engineer with strong hands-on experience in LLM fine-tuning, speech recognition, and voice-to-voice systems. This is a research-driven yet production-focused role, where you'll experiment with cutting-edge models and take them all the way to scalable, real-world deployment. You will help shape eloelo's next-generation AI stack, working on systems that power real-time voice interactions at a global scale.

Responsibilities

• Research, fine-tune, and deploy Large Language Models (LLMs) for conversational and interactive use cases.
• Build and improve speech-to-text (ASR) and text-to-speech (TTS) systems.
• Develop voice-to-voice pipelines with low latency and high reliability.
• Experiment with multimodal AI systems combining voice, text, and context.
• Design evaluation frameworks for model quality, latency, and user experience.
• Optimise models for real-time inference at scale.
• Work closely with backend, infra, and product teams to ship AI features into production.
• Stay up-to-date with the latest research and translate it into practical applications.
  
  

• 2-6 years of hands-on experience in AI / ML engineering or applied research.
• Strong experience with LLMs (fine-tuning, prompt engineering, RAG, inference optimisation).
• Hands-on experience with speech technologies: Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Voice-to-Voice pipelines.
• Strong programming skills in Python.
• Experience with deep learning frameworks such as PyTorch / TensorFlow.
• Solid understanding of neural networks, transformers, and sequence models.
• Experience deploying models into production systems.
• Familiarity with cloud infrastructure (AWS / GCP).
• Strong problem-solving mindset and experimental approach.
• Experience with real-time / low-latency systems.
• Exposure to multilingual speech models.
• Experience working with streaming audio pipelines.
• Familiarity with MLOps (model versioning, monitoring, CI/CD).
• Contributions to research papers, open-source projects, or blogs.
• Experience in consumer-scale or real-time platforms.
  
  

This job was posted by Suma Hongal from eloelo.