4 hours ago
Responsibilities
- Design, build, deploy, 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, performance, monitoring, testing, and production operations for AI applications.
- Define engineering standards, reusable components, documentation, and AI development best practices.
- Collaborate with business stakeholders to translate problems into scalable AI solutions.
- Evaluate foundation models, frameworks, and prompting strategies and recommend adoption decisions.
- 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.
Requirements
- At least 5 years of experience in software engineering, machine learning engineering, AI engineering, or a similar technical role.
- Strong Python development skills and 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, embeddings, retrieval optimization, reranking, and evaluation.
- Experience building agentic workflows with LangGraph, LangChain, OpenAI Agents SDK, or similar frameworks.
- Experience integrating external APIs and enterprise systems.
- Strong understanding of software engineering practices including testing, CI/CD, observability, monitoring, and production deployments.
- Experience with cloud platforms, preferably GCP, and containerized applications.
- Strong debugging, problem-solving, written communication, and verbal English skills.
- Ability to independently manage projects and influence technical decisions across teams.
Benefits
- Competitive salary and comprehensive benefits; compensation figures are not specified.
- Opportunities for professional growth, robust training, and access to cutting-edge AI tools.
- Inclusive office environment designed to support collaboration and connection.
- The role is based in India and requires availability for morning IST overlap with the core team.
- Equal-opportunity workplace committed to inclusion and an environment free from discrimination and harassment.
Tech Stack
Categories
About Dialpad
Dialpad is the leading AI-powered communications intelligence platform creating human-first, AI-enhanced solutions that will drive the next wave of how businesses communicate with and serve their customers. Enterprise customers such as Randstad, RE/MAX, Nasdaq, Express Scripts, T-Mobile, Johns Hopkins, Motorola Solutions, Tractor Supply, and Netflix use Dialpad and its AI capabilities to deliver amazing customer experiences. Supported by notable investors such as Andreessen Horowitz, GV, ICONIQ Capital, and OMERS, Dialpad is a dynamic force in AI technology with a rapidly expanding presence. Visit dialpad.com to learn more.