Generative AI Engineer

Company Description AmpUp.Ai is a sales enablement platform that continuously learns what works in a team’s specific sales motion and transforms those insights into tailored preparation, coaching, and practice for each representative. Operating on top of existing sales tools, AmpUp.Ai automatically records calls, analyzes winning and losing patterns, and delivers actionable playbooks before the next conversation. Its Skill Lab then helps reps practice on real, current objections to build practical, job-ready skills. With each loop, the platform compounds insights and improves performance, helping entire teams sell like their top performers.
Role Description This is a full-time, on-site Generative AI Engineer role based in Bengaluru. The Generative AI Engineer will design, develop, and deploy generative AI models that power AmpUp.Ai’s recording, analysis, coaching, and practice experiences for sales teams. Day-to-day responsibilities include building and fine-tuning models for speech-to-text, conversation understanding, pattern detection, and content generation, as well as integrating these models into production systems with robust APIs and services. The role involves collaborating with product, data, and engineering teams to translate sales workflows into AI capabilities, designing experiments, evaluating model performance, and implementing continuous improvements. The engineer will also ensure that AI systems are reliable, secure, and ethically aligned, while contributing to overall platform scalability and user impact.
Qualifications
Strong foundation in machine learning and deep learning, including experience with transformers, large language models (LLMs), and generative architectures (e.g., GPT-style models, encoder-decoder models).Hands-on experience with ML frameworks and tools such as PyTorch, TensorFlow, JAX, Hugging Face, and modern MLOps practices (model training, deployment, monitoring, and iteration).Proficiency in software engineering using languages such as Python (preferred), and familiarity with building scalable backend services, REST/GraphQL APIs, and cloud-based infrastructure (e.g., AWS, GCP, Azure).Experience with NLP and speech-related tasks, including text generation, summarization, sentiment and intent detection, conversational AI, and speech-to-text or audio processing.Ability to design experiments, define evaluation metrics, and analyze results to improve model accuracy, robustness, and user experience in real-world production environments.Understanding of data processing pipelines, feature engineering, and working with large, noisy, and unstructured datasets from calls, transcripts, and CRM systems.Awareness of AI ethics, bias mitigation, and responsible use of generative AI, especially in user-facing and decision-support contexts.Strong problem-solving skills, clear written and verbal communication, and comfort collaborating in cross-functional teams with

Skills
Generative AI

Work arrangement
No