Senior Agentic AI Engineer

Reposted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Bulgaria
Remote or Hybrid
Senior level
Artificial Intelligence • Cloud • Events • Productivity • Software • Business Intelligence • Conversational AI
Trusted AI communications.
The Role
Lead design, build, and deploy autonomous LLM-powered multi-agent systems for technical support. Implement RAG pipelines, tool-use, integrations with internal APIs/MCP, ensure reliability and guardrails, set best practices, and collaborate cross-functionally while evaluating new models and agentic frameworks.
Summary Generated by Built In

Say hello to opportunities.

It’s not everyday that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 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. 

About The Role

You will play a lead role in a high-impact transformation: evolving RingCentral’s 1,300-person global technical support organization from a human-centric operation into a hybrid, agentic AI ecosystem. We are moving beyond traditional chatbots to build autonomous, goal-driven multi-agent systems capable of reasoning, planning, and executing complex technical support workflows to resolve customer issues at scale.

As a Senior Agentic AI Engineer, you will be at the forefront of this revolution. You will architect, develop, and deploy intelligent agents that understand nuanced customer problems, interact with internal systems, and autonomously drive resolutions. This is a unique opportunity to shape the future of enterprise customer support at a leading global communications company.

Key Responsibilities
  • Architect and Build Agentic Systems: Design and implement autonomous, LLM-powered agents for complex support workflows.

  • Develop Core AI Capabilities: Build robust retrieval-augmented generation (RAG) pipelines and tool-use capabilities to give agents access to internal data, diagnostic and resolution tools, and knowledge bases.

  • System Integration: Seamlessly integrate AI agents with RingCentral’s proprietary infrastructure, APIs, and other enterprise systems using the model context protocol (MCP).

  • Optimize Performance & Reliability: Ensure high accuracy, low latency, and enterprise-grade reliability. Implement robust agentic observability, evaluation, and guardrails to prevent hallucination and execution loops.

  • Lead & Collaborate: Serve as a technical lead and individual contributor (IC), setting best practices for prompt engineering, model evaluation, and agent architecture. Collaborate cross-functionally with Support, Product, and Engineering teams.

  • Continuous Innovation: Stay at the bleeding edge of AI research. Evaluate new foundation models, agentic frameworks, and optimization techniques.

Qualifications
  • Education: BS/MS in Computer Science, Artificial Intelligence, or relevant technical field.

  • Experience: 5+ years of software engineering experience, with at least 1+ years of hands-on experience building and deploying generative AI or LLM-based applications to production.

  • Programming: Strong proficiency in writing scalable, production-ready Python.

  • AI & LLM Expertise: Deep understanding of foundation models with practical experience in advanced prompt engineering, RAG architectures, and fine-tuning.

  • Agentic Frameworks: Hands-on experience with modern orchestration and multi-agent frameworks.

  • Data & Infrastructure: Solid experience with vector databases, graph databases (for graph RAG applications), and cloud infrastructure (AWS preferred).

  • LLMOps: Familiarity with agentic observability, tracing, and evaluation tools.

  • Problem Solving: A relentless drive to break down business goals into scalable, reliable technical solutions.

  • Communication: Excellent written and verbal communication skills in English.

What we offer  
  • Well-coordinated professional team.

  • Cutting edge technologies, interesting and challenging tasks, dynamic project, great opportunities for self-realization, professional and career growth.

  • Additional Health and Life Insurance Package.

  • Employee Assistance Program.

  • 25 vacation days.

  • 102.26 EUR/200 BGN Digital Food Vouchers.

  • 61.36 EUR/120 BGN Gross as part of the salary for Working Expenses Allowance.

About RingCentral

RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™  (MVP™) global platform. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world.

RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 
#LI-JW1

 

Skills Required

  • BS/MS in Computer Science, Artificial Intelligence, or relevant technical field
  • 5+ years software engineering experience with at least 1+ years deploying generative AI/LLM applications to production
  • Strong proficiency in writing scalable, production-ready Python
  • Deep understanding of foundation models, advanced prompt engineering, RAG architectures, and fine-tuning
  • Hands-on experience with orchestration and multi-agent frameworks
  • Experience with vector databases and graph databases
  • Experience integrating systems with internal APIs and model context protocol (MCP)
  • Experience with cloud infrastructure (AWS preferred)
  • Familiarity with LLMOps, agentic observability, tracing, and evaluation tools
  • Excellent written and verbal communication skills in English

RingCentral Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RingCentral and has not been reviewed or approved by RingCentral.

  • Fair & Transparent Compensation Compensation receives strong third‑party recognition, including a Best Company Compensation award on Comparably and a top‑tier standing versus similar‑size companies. Pay is often characterized as solid to strong, though outcomes vary by role and team.
  • Healthcare Strength Health coverage is broad, with multiple medical plan options plus dental, vision, life, and disability insurance, alongside wellness resources. Benefits descriptions frequently highlight healthcare and time off as standout elements.
  • Parental & Family Support Paid parental leave for primary and secondary caregivers is prominently featured, with added resources such as fertility support, backup care, and mental‑health tools. These programs contribute meaningful family support across many locations, subject to local variations.

RingCentral Insights

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The Company
HQ: Belmont , CA
7,000 Employees
Year Founded: 2003

What We Do

RingCentral is a global leader in AI-powered trusted business communications, contact center, revenue intelligence, video and hybrid event solutions. RingCentral empowers businesses with conversation intelligence and unlocks rich customer and employee interactions to provide insights and improved business outcomes.

Why Work With Us

Innovation isn't just a buzzword—it's the core and heart of everything we do. We believe that groundbreaking ideas emerge from every corner of our organization. Our biggest strength? We are not all the same. At RingCentral, our commitment to fostering a culture of curiosity and inclusivity is what sets us apart.

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