Generative AI Engineer - Automatic Speech Recognition

Job Title : Gen-AI : 5 : Remote Time Zone : IST Primary Tech Stack : ASR, LLM, Prompt Engineering & RAG Tech Stack : Job Summary : - Automatic Speech Recognition (ASR) Models and Audio Input Processing - Voice-to-Text Translation & Noise Cancellation for Indian Languages - Use Large Language Model (LLM) APIs, Prompt Engineering & RAG Model Development - Agentic AI Development Tool Integration & Orchestration - Machine Learning Recommendation Systems, Model Development & Optimization Detailed Requirement (Must Have) : - Experience with multilingual ASR models (e.g., Whisper, Google Speech-to-Text, Vosk, Wav2Vec2) - Audio preprocessing: sampling, filtering, feature extraction, signal processing for noise reduction etc. (MFCCs, spectrograms) - Understanding speech datasets (e.g., Common Voice, Indic TTS) - Strong knowledge of NLP techniques & familiarity with Indic NLP (e.g., transliteration, tokenization) - Interfacing with Pretrained LLM APIs like OpenAI, Azure OpenAI, Anthropic, Llama, Phi, Gemma etc. - Knowledge of Hugging Face Services - Prompt engineering techniques and understanding LLM behaviour, temperature, top_p, stop sequences, token limits, rate limits, and context management - Solid understanding of Vector Database & Embedding Knowledge - Strong Experience with RAG Model Development & Validation - Building autonomous agents using frameworks like LangChain or AutoGen - Tool integration and memory management for agents - Defining tool specs (input/output schema) and Handling tool chaining and fallback logic - Solid foundation in Machine Learning development specially hands on with recommendation system - Experience with ML Model life-cycle management & optimization - Solid foundation in Python (OOP, concurrency, decorators, generators) Good to have : - Web Application Development - Health Care Domain Knowledge DevOps & Deployment - Monitoring & Metrics Key Responsibilities : - Design, develop, and deploy multilingual Automatic Speech Recognition (ASR) solutions, focusing on Indian languages, including voice-to-text translation and noise cancellation techniques. - Build and integrate Large Language Models (LLMs) via APIs, leveraging prompt engineering and Retrieval-Augmented Generation (RAG) frameworks to create innovative AI applications. - Architect and implement Agentic AI systems, including tool integration, orchestration, and memory management, utilizing frameworks like LangChain or AutoGen. - Develop and optimize machine learning models, particularly recommendation systems, throughout their lifecycle. - Conduct thorough audio preprocessing, including sampling, filtering, feature extraction (e.g., MFCCs, spectrograms), and noise reduction, to enhance ASR model performance. - Work with and understand various speech datasets (e.g., Common Voice, Indic TTS) and apply appropriate NLP techniques, with a focus on Indic NLP (e.g., transliteration, tokenization). - Experiment with and evaluate different pretrained LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Llama, Phi, Gemma) and Hugging Face services to determine optimal solutions. - Implement and refine prompt engineering strategies to guide LLM behavior and ensure desired outputs, considering parameters like temperature, top_p, stop sequences, and context management. - Design and implement vector databases and embedding techniques to support efficient information retrieval for RAG models. - Develop, validate, and iterate on RAG model architectures to improve accuracy and relevance of generated responses. - Define tool specifications (input/output schema) and implement robust tool chaining and fallback logic within autonomous agent frameworks. - Apply strong Python programming skills, including OOP, concurrency, decorators, and generators, to build scalable and efficient AI solutions. - Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. - Stay up-to-date with the latest advancements in Gen-AI, ASR, LLMs, and related technologies. (ref:hirist.tech)

Location: in, IN

Posted Date: 5/12/2025