# AI Transformation Engineer

**Company**: Dialpad
**Location**: Bengaluru, India
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/dialpad/jobs/8700100002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_612f9cb6-f33

## Description

As an AI Engineer at Dialpad, you will build and ship AI-powered tools alongside a small, technically focused team. This is a hands-on engineering role where you will write Python, work with LLMs and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on.

Responsibilities:

- Design, build, and maintain production-grade AI systems, including multi-agent workflows, RAG applications, workflow automation, and LLM-powered services.

- Lead the 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 directly with business stakeholders to understand problems and translate them into scalable AI solutions.

- Evaluate new foundation models, frameworks, and prompting strategies and make recommendations for adoption.

- 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.

- Drive continuous improvements in engineering processes, documentation, and operational excellence.

Requirements:

- 5+ years of experience in software engineering, machine learning engineering, AI engineering, or a similar technical role.

- Strong Python development skills with experience building and maintaining production systems.

- Deep understanding of LLMs, prompting techniques, structured outputs, tool calling, function calling, and AI application architectures.

- Experience designing and deploying RAG systems, including chunking strategies, embeddings, retrieval optimization, reranking, and evaluation.

- Experience building agentic workflows using frameworks such as LangGraph, LangChain, OpenAI Agents SDK, or similar.

- Experience integrating external APIs and enterprise systems.

- Strong understanding of software engineering best practices, including testing, CI/CD, observability, monitoring, and production deployments.

- Experience working with cloud platforms (preferably GCP) and containerized applications.

- Strong debugging and problem-solving skills.

- Excellent written and verbal English communication.

- Ability to independently manage projects and influence technical decisions across teams.

Benefits:

- Competitive salary, comprehensive benefits, and real opportunities for growth.

- Work at the center of the AI transformation in business communications.

- Build and ship agentic AI products that are redefining how companies operate.

- Join a team where AI amplifies every employee's impact.

## Skills

### Required
- Python
- LLMs
- agent frameworks
- APIs
- software engineering
- machine learning engineering
- AI engineering
- RAG systems
- LangGraph
- LangChain
- OpenAI Agents SDK
- cloud platforms
- containerized applications

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/dialpad/jobs/8700100002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)