Be the one building AI-powered experiences where they matter most.
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.
Staff Software Engineer, MCP and A2A
Department & Team: Engineering – MCP Orchestration
Location: Virtual Office (Portugal)
Summary
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
Minimum Requirements
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
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.
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