Conversational AI & Voice Automation Engineer Zudu AI

2.0 - 6.0 years

0 Lacs

chennai, tamil nadu

On-site

At Chennai Zudu, we are dedicated to reshaping the way individuals interact with technology. We envision a future where AI powered by voice recognition not only comprehends your needs but also collaborates with you in a manner that feels completely natural. Our groundbreaking platform is transforming customer engagement by replacing traditional call centers with intelligent, self-improving voice agents. With the support of a team comprising industry veterans and thought leaders from renowned global tech companies, we are forging ahead to create the next era of voice automation that empowers businesses and retailers throughout India. As a full-time Prompt Engineer at Chennai Zudu, you will become an integral part of our vibrant team in Chennai. Your primary responsibility will involve working closely with our engineers, data scientists, and product specialists to craft, enhance, and optimize prompts that drive our cutting-edge voice automation systems. Your expertise will play a pivotal role in molding how our AI comprehends and responds to natural language, guaranteeing seamless and intuitive interactions for our users. Your key responsibilities will include developing and refining intricate prompt frameworks to support our internal voice automation tasks, utilizing internal tools to gather and analyze data for ensuring the precision and efficacy of prompts, collaborating with AI researchers, engineers, and product teams to enhance methodologies and exchange insights, as well as aiding in data quality control and annotation to sustain high performance standards across our systems. **Responsibilities:** - Develop and iterate complex prompt frameworks to support our internal voice automation tasks. - Leverage internal tools to collect and analyze data, ensuring the accuracy and effectiveness of prompts. - Collaborate with AI researchers, engineers, and product teams to refine methodologies and share insights. - Assist in data quality control and annotation efforts to maintain high performance standards across our systems. **Required Qualifications:** - Strong proficiency in English, both written and verbal. - Experience with data annotation, scripting, or related coursework, internships, or personal projects. - A proactive and analytical mindset, with a keen interest in natural language processing and AI technologies. **Preferred Qualifications:** - Prior hands-on experience with LLM prompting (e.g., ChatGPT, Claude, DeepSeek, etc.) either professionally or through personal projects. - Excellent communication and writing skills, with a background in technical or creative writing considered an asset. - Familiarity with voice assistant technologies and conversational AI is a plus.,

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Generative AI - Data Scientist Ripik.AI

1 - 3 years

3 - 5 Lacs

Noida

Work from Office

About the role: Were building an agentic AI platform that turns one line of text and a video feed into end-to-end, real-time computer-vision solutionsthink semantic video search, object / action recognition, and task-oriented visual agents deployable with a single click. As a Gen AI ML Engineer, youll architect the core vision & multimodal-reasoning stack and pave the road from prototype to production. Roles and Responsibilities: Semantic video search Ship a pipeline that allows users to type show every forklift near aisle 5 in the last 30 minutes and get keyed-off clips in 1 s. Wire embeddings to a hybrid FAISS/HNSW index; surface results through a simple REST & React playground. Create agentic pipelines Chain vision language models and zero/few-shot vision models with LLM planners (Gemini, GPT-4o, AutoGen, etc.) so a single prompt becomes a multi-step perception workflow. Profile and accelerate inference (TensorRT, ONNX, quantization, batching) to meet latency / throughput targets on GPU and CPU fleets. Rapid prototyping loops Run weekly paper-to-prototype spikes: reproduce a fresh arXiv idea, benchmark, and decide go/no-go in 5 days. Hand successful python scripts & checkpoints to MLOps for productionizationno plumbing marathons. Data & Evaluation Spin up scalable pipelines for video ingestion, labeling (active learning, weak supervision), experiment tracking, and continuous evaluation. Collaborate & Lead Partner with product and ML Ops engineers; set research direction, mentor future hires, and establish best practices. Must-have skill set: 13 years deep-learning research experience (internships & grad work count). Fluency in Python + PyTorch; comfortable hacking large vision/LLM repos. Proof you ship ideasfirst-author paper, OSS repo, Kaggle medal, or faithful reproduction of a cutting-edge model. Hands-on with LLM prompting/fine-tuning and at least one agent framework. Able to turn fuzzy product asks into measurable experiments and explain results clearly. Bonus cred: Large-scale video retrieval or temporal grounding experience. Prior work building agentic-AI pipelines that combine perception models with LLM reasoning. Open-source contributions to GenAI/vision libs (OpenCLIP, Vid2Seq, ViperGPT, etc.). What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) International exposure

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