AI Transformation Engineer

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.