Reads like an AI Engineer role: building products on existing AI models.
Bengaluru, Karnataka, India
Live, first seen by us 18 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and deploy generative AI voice bots and conversational AI for enterprise use
Optimise speech-to-text, LLM and text-to-speech pipelines for latency and quality
Build and maintain RAG pipelines for accurate, context-aware responses
Design conversational workflows, intents and agentic tool-calling applications
Build evaluation frameworks for response quality, latency and task completion
Design, build, and deploy Generative AI-powered voice bots and conversational AI applications for enterprise use cases.
Design and optimise end-to-end voice processing pipelines involving Speech-to-Text (STT), Large Language Models, and Text-to-Speech (TTS).
Build and maintain RAG pipelines to enable accurate, context-aware responses using relevant knowledge sources.
Design conversational workflows, dialogue systems, intents, and interaction patterns for voice-based applications.
Establish evaluation frameworks to measure response quality, relevance, latency, accuracy, and task completion.
3–10 years of experience in Data Science, Natural Language Processing (NLP), Conversational AI, Generative AI, or a related field.
Strong understanding of LLM architectures, RAG pipelines, prompt engineering, and fine-tuning techniques.
Practical experience designing speech-enabled AI applications using STT and TTS components.
Proficiency in Python and experience working with structured and unstructured data.
Familiarity with deep learning frameworks and modern AI development tools.
Ability to collaborate with cross-functional teams and translate business requirements into effective AI solutions.
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Day 18
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- Speech Technologies: Understanding of STT and TTS systems and their integration into end-to-end voice pipelines. - Python Programming: Strong coding skills for AI development, experimentation, data processing, and deployment. - Machine Learning: Solid understanding of machine learning and deep learning concepts.
- Practical experience designing speech-enabled AI applications using STT and TTS components. - Proficiency in Python and experience working with structured and unstructured data. - Familiarity with deep learning frameworks and modern AI development tools.
- Familiarity with GPT, LLaMA, and other open-source or commercial LLMs. - Experience with SQL and NoSQL databases and large-scale data handling. - Knowledge of multimodal AI, AI agents, tool calling, and workflow orchestration.
Good-to-Have Skills - Experience with PyTorch, TensorFlow, and Hugging Face. - Familiarity with GPT, LLaMA, and other open-source or commercial LLMs.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
This role is for one of Weekday’s clients
Salary range: Rs 1800000 - Rs 5000000 (ie INR 18 - 50 LPA)
Min Experience: 3+ years
Location: MUMBAI, Bengaluru, Karnataka, India
JobType: full-time
We are looking for an experienced Senior Data Scientist to design, develop, and deploy Generative AI solutions, with a strong focus on voice bots and conversational AI systems. The ideal candidate will have hands-on experience building production-ready AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), speech technologies, and advanced machine learning techniques.
In this role, you will build intelligent voice-first systems for use cases such as sales, collections, and customer experience (CX). You will be responsible for improving conversational quality, reducing response latency, enhancing model reliability, and developing scalable AI pipelines. You will collaborate with product, machine learning engineering, and platform teams to transform research and experimentation into reliable, production-grade solutions.
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Bengaluru, Karnataka, India
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