[Hiring] Staff Software Engineer @Genesys

Role Description

We're looking for a Staff Engineer to build the MCP, A2A, and agentic workflow systems at Genesys. This is a hands-on build role. You will design and ship MCP servers and clients, the agent-to-agent communication layer, and multi-step agentic workflows that run real customer work in production. You own significant pieces of this stack end to end, from design through production debugging.

Key Responsibilities

• Build MCP servers and clients: tool and resource schemas, transports, auth and scoping, versioning
• Build A2A components: agent discovery, capability advertisement, task delegation and handoff, message contracts, failure semantics between agents
• Build multi-step agentic workflows: planning and tool-call loops, state and context management, memory, human-in-the-loop checkpoints, retries, termination conditions
• Own the reliability, latency, and cost characteristics of the agent systems you ship
• Build evaluation and observability for agent behavior: tracing across agent hops and tool calls, eval harnesses, regression gates
• Harden agent systems against tool abuse and prompt injection, with least-privilege tool access
• Debug non-deterministic production failures across multi-agent paths
• Work closely with the Principal Engineer on architecture, and with other engineers through code and design review

Qualifications

• 8+ years of professional software engineering experience
• Deep hands-on experience building with LLMs and agent frameworks (LangGraph, AutoGen, CrewAI, or custom orchestration)
• Practical experience with MCP and/or A2A, or strong grasp of the underlying concepts and a fast ramp
• Proven systems design skills: state, concurrency, failure modes, and observability in distributed, non-deterministic systems
• Proficiency in Java and/or TypeScript/Node
• Track record shipping and operating complex systems in production, not just prototyping them
• Comfort operating with ambiguity in a space where best practices are still being written
• Clear communication, including explaining agent behavior to non-technical stakeholders

Desirable Skills

• Experience with evaluation frameworks for LLM and agent outputs
• Contributions to open-source agent or protocol projects
• Experience with RAG pipelines and vector databases
• Proficiency in Python
• Experience with prompt engineering and context management at scale

Benefits

• 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.

What Happens After You Apply

After you apply, here's what you can typically expect:

• 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.

Reasonable Accommodations

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [email protected].

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.