{"id":1151909,"url":"https://alion.io/job/genesys-staff-software-engineer","title":"Staff Software Engineer","company":{"id":660,"name":"Genesys","domain":"genesys.com","url":"https://alion.io/company/genesys","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":27,"ghost_share":0,"stale_share":0.074,"repost_share":0.074,"time_to_fill_p50_days":15,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":143000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1612},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LangGraph","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"TypeScript","optional":false},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-23T18:10:42Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T01:12:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Be the one building AI-powered experiences where they matter most.\nAt 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.\nHelp 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.\nStaff Software Engineer, MCP and A2A\nDepartment & Team: Engineering - MCP Orchestration\nLocation: Virtual Office (Portugal)\nSummary\nWe'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.\nKey Responsibilities\nBuild MCP servers and clients: tool and resource schemas, transports, auth and scoping, versioning\nBuild A2A components: agent discovery, capability advertisement, task delegation and handoff, message contracts, failure semantics between agents\nBuild multi-step agentic workflows: planning and tool-call loops, state and context management, memory, human-in-the-loop checkpoints, retries, termination conditions\nOwn the reliability, latency, and cost characteristics of the agent systems you ship\nBuild evaluation and observability for agent behavior: tracing across agent hops and tool calls, eval harnesses, regression gates\nHarden agent systems against tool abuse and prompt injection, with least-privilege tool access\nDebug non-deterministic production failures across multi-agent paths\nWork closely with the Principal Engineer on architecture, and with other engineers through code and design review\nMinimum Requirements\n8+ years of professional software engineering experience\nDeep hands-on experience building with LLMs and agent frameworks (LangGraph, AutoGen, CrewAI, or custom orchestration)\nPractical experience with MCP and/or A2A, or strong grasp of the underlying concepts and a fast ramp\nProven systems design skills: state, concurrency, failure modes, and observability in distributed, non-deterministic systems\nProficiency in Java and/or TypeScript/Node\nTrack record shipping and operating complex systems in production, not just prototyping them\nComfort operating with ambiguity in a space where best practices are still being written\nClear communication, including explaining agent behavior to non-technical stakeholders\nDesirable Skills\nExperience with evaluation frameworks for LLM and agent outputs\nContributions to open-source agent or protocol projects\nExperience with RAG pipelines and vector databases\nProficiency in Python\nExperience with prompt engineering and context management at scale\nWorking at Genesys\nAI 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.\nA 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.\nGrowth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.\nTime 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.\nRecognized globally - Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.\nLearn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.\nWhat Happens After You Apply\nAfter you apply, here's what you can typically expect:\nOur Talent Acquisition team reviews your application with the hiring team.\nA Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. \nNext, you'll meet the hiring manager and other members of the interview team.\nWe aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.\nAfter interviews are complete, our team will follow up with the final steps.\nEvery application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.\nStay Connected\nStay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.\nGet notified about relevant opportunities.\nBe the one building what's next - where AI, experience and impact come together.\nEmployee Referral\nIf a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.\nAbout Genesys:\nGenesys® 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.\nReasonable Accommodations:\nIf 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 .\nYou 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.\nThis email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.\nGenesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.\nPlease note that recruiters will never ask for sensitive personal or financial information during the application phase.","description_format":"text","description_chars":6841,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Customer Relationship Management (CRM)","Unified Communications","Conversational AI"],"lifecycle":[{"event":"open","at":"2026-09-23T18:10:42Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-09-24T05:22:44Z"},"pay":null,"html_url":"https://alion.io/job/genesys-staff-software-engineer","json_url":"https://alion.io/job/genesys-staff-software-engineer.json","meta":{"generated_at":"2026-09-24T05:22:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}