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Dialpad is an AI platform for customer experience that enables organizations to resolve customer problems in real time across voice and digital channels. The company's AI agents learn from human agents and improve with every interaction, helping businesses understand customers, deliver better experiences, and increase operational efficiency.
As an AI Transformation Engineer, you will be a hands-on senior engineer building and shipping production-grade AI systems alongside a technically focused team. You will write Python code, work with large language models and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on. This role reports to the AI Engineering Manager and is based in Bengaluru, with required overlap during morning IST hours for collaboration and code reviews.
Key responsibilities include:
- Design, build, and maintain production-grade AI systems including multi-agent workflows, RAG applications, workflow automation, and LLM-powered services
- Lead technical implementation of complex AI initiatives from discovery through deployment
- Architect scalable backend services, APIs, evaluation pipelines, and retrieval systems
- Improve reliability, observability, and performance of production AI applications
- Define engineering standards, reusable components, and best practices for AI development
- Collaborate with business stakeholders to translate problems into scalable AI solutions
- Evaluate new foundation models, frameworks, and prompting strategies
- Build evaluation frameworks and automated testing strategies for LLM-based systems
- Mentor junior engineers through code reviews, technical guidance, and design discussions
- Participate in architectural planning, sprint planning, technical reviews, and cross-functional initiatives
The successful candidate will grow quickly in both AI engineering depth and ability to take on increasingly independent problems. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile, and serves market-leading brands including Netflix, Motorola Solutions, and Randstad.
