At a glanceSummarised by Seekless from the posting.
Must have11
5+ years of software engineering experience
1+ years of hands-on experience building and deploying generative AI or LLM-based applications to production
Strong proficiency in writing scalable, production-ready Python
Deep understanding of foundation models with practical experience in advanced prompt engineering, RAG architectures, and fine-tuning
Hands-on experience with modern orchestration and multi-agent frameworks
Solid experience with vector databases, graph databases (for graph RAG applications), and cloud infrastructure (AWS preferred)
Familiarity with agentic observability, tracing, and evaluation tools
A relentless drive to break down business goals into scalable, reliable technical solutions
Excellent written and verbal communication skills in English
BS/MS in Computer Science, Artificial Intelligence, or relevant technical field
Lead a role in a high-impact transformation
Skills
Python
LLM
RAG
vector databases
graph databases
AWS
LLMOps
MCP
Benefits
Health insurance
Life insurance
Employee assistance program
Vacation days
Meal vouchers
Working expenses allowance
About the company
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
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Architect and Build Agentic Systems: Design and implement autonomous, LLM-powered agents for complex support workflows.
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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.
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System Integration: Seamlessly integrate AI agents with RingCentral’s proprietary infrastructure, APIs, and other enterprise systems using the model context protocol (MCP).
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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.
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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.
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Continuous Innovation: Stay at the bleeding edge of AI research. Evaluate new foundation models, agentic frameworks, and optimization techniques.
Qualifications
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Education: BS/MS in Computer Science, Artificial Intelligence, or relevant technical field.
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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.
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Programming: Strong proficiency in writing scalable, production-ready Python.
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AI & LLM Expertise: Deep understanding of foundation models with practical experience in advanced prompt engineering, RAG architectures, and fine-tuning.
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Agentic Frameworks: Hands-on experience with modern orchestration and multi-agent frameworks.
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Data & Infrastructure: Solid experience with vector databases, graph databases (for graph RAG applications), and cloud infrastructure (AWS preferred).
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LLMOps: Familiarity with agentic observability, tracing, and evaluation tools.
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Problem Solving: A relentless drive to break down business goals into scalable, reliable technical solutions.
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Communication: Excellent written and verbal communication skills in English.
What we offer
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Well-coordinated professional team.
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Cutting edge technologies, interesting and challenging tasks, dynamic project, great opportunities for self-realization, professional and career growth.
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Additional Health and Life Insurance Package.
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Employee Assistance Program.
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25 vacation days.
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102.26 EUR/200 BGN Digital Food Vouchers.
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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.
Legal
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.