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AI Forward-Deployed Engineer (Early Career/Entry Level)
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About the position
This is an office-based position based in Belmont, with travel to customer sites as required (typically 20-30%). RingCentral is a \$2.6 Billion annual revenue company with double-digit Annual Recurring Revenue (ARR) and a \$93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than \$250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers. AIR Pro is RingCentral’s agentic AI platform for enterprise voice and digital customer interactions. The platform enables organizations to automate customer experience conversations with measurable business outcomes. We're looking for an early-career AI Forward-Deployed Engineer to join our AIR Pro team and help build AI-powered customer experiences. This role is designed for recent graduates who enjoy solving technical problems, building software, working directly with users, and learning in fast-moving environments. As an AI Forward-Deployed Engineer, you'll work closely with customers and internal teams to translate business challenges into real AI solutions. You’ll gain hands-on experience deploying AI systems, integrating customer platforms, and helping drive measurable business outcomes.
Responsibilities
Learn customer workflows and identify opportunities for AI automation
Gather requirements and help translate business needs into technical solutions
Support workshops and discovery sessions with customers and internal teams
Help define metrics for success and business outcomes
Build and test AI workflows using large language models and agent frameworks
Assist with retrieval pipelines, prompt engineering, and API integrations
Support integrations with customer systems such as CRMs and ticketing tools
Monitor AI performance and participate in improving model behavior over time
Work with Product, Engineering, Sales Engineering, and Customer teams
Assist in customer demonstrations and proof-of-concept projects
Document best practices and lessons learned from customer implementations
Requirements
Bachelor's degree in Computer Science (preferred), Computer Engineering, Software Engineering, or related technical field
Recent graduate (0–2 years experience)
Coursework or projects involving: AI/ML, Large Language Models, APIs, Software development
Programming experience in: Python, JavaScript or Java
Basic backend development concepts
Strong communication skills and interest in customer-facing work
Ability to learn quickly in fast-paced environments
Nice-to-haves
Internship experience in software engineering, AI, or technical consulting
