Senior Software Engineer

Genesys Telecommunications Laboratories, Inc.
Daly City, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Customer Interaction Management (Software) Node.Js Open Source Technology Software Engineering Systems Integration TypeScript Genesys Retrieval-Augmented Generation Large Language Models
+9 more
Prompt Engineering Agentic-AI Build Management Low Latency Enterprise Integration Virtual Agents Api Design Model Context Protocol Agent2Agent Protocol

Job description

We’re looking for a Senior Software Engineer to build the next generation of AI agent capabilities at Genesys. You’ll work on the protocols and infrastructure that let autonomous agents communicate, coordinate, and execute real work: Agent2Agent (A2A) communication, Model Context Protocol (MCP) integrations, and multi-step agentic workflows. This is a hands-on engineering role for someone who wants to work at the frontier of applied AI within customer experience and contact center technology, not just consume it through an API., * Design and build agent-to-agent (A2A) communication systems that let multiple autonomous agents collaborate on shared tasks

  • Build and maintain MCP servers and clients to connect agents to tools, data sources, and external systems
  • Architect agentic workflows that chain reasoning, tool use, and decision-making into reliable, production-grade automations
  • Own the full lifecycle of agent features: design, implementation, evaluation, deployment, and monitoring
  • Partner with product and the broader engineering team to translate real customer experience and workflow automation needs into agent architectures
  • Improve reliability, latency, and cost of agent systems running in production at scale
  • Contribute to internal frameworks and tooling that make it faster to build and test new agents
  • Stay current with the fast-moving agent ecosystem and bring in new techniques and standards as they mature, * Our Talent Acquisition team reviews your application with the hiring team
  • A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
  • Next, you’ll meet the hiring manager and other members of the interview team
  • We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases
  • After interviews are complete, our team will follow up with the final steps

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we’re applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Requirements

  • 5-6 years of professional software engineering experience, with a track record of shipping production systems
  • Hands-on experience building with LLMs and agent frameworks
  • Practical experience with MCP (Model Context Protocol) and/or A2A, or strong familiarity with the underlying concepts and a fast ability to ramp up
  • Strong systems design skills: reasoning about state, concurrency, failure modes, and observability in distributed, non-deterministic systems
  • Proficiency in TypeScript/Node or Java
  • Experience with API design, integrations, and tool-calling patterns
  • Comfort operating with ambiguity in a space where best practices are still being written
  • Excellent communication skills, especially explaining complex agent behavior to non-technical stakeholders

Desirable Skills:

  • Experience with vector databases, RAG pipelines, or evaluation frameworks for LLM outputs
  • Contributions to open-source agent or protocol projects
  • Background in contact center, CX platforms, or enterprise integration
  • Experience with prompt engineering and context management at scale

About the company

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day., Working at Genesys

  • AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year
  • A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
  • Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support
  • Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families
  • Recognized globally - Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report., Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai., How does Genesys work?

Orchestrating over 70 billion amazing experiences in more than 100 countries - through cloud, digital and AI technology

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