{"id":2933928,"url":"https://alion.io/job/genesys-senior-ai-software-engineer","title":"Senior AI Software Engineer","company":{"id":660,"name":"Genesys","domain":"genesys.com","url":"https://alion.io/company/genesys","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":25,"ghost_share":0,"stale_share":0.36,"repost_share":0.12,"time_to_fill_p50_days":21,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"DynamoDB","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"WebSockets","optional":false},{"name":"Anthropic","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"Claude","optional":true},{"name":"FedRAMP","optional":true},{"name":"Function Calling","optional":true},{"name":"GDPR","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-20T15:33:19Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T05:44:33Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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.\nSenior AI Software Engineer - Backend (Genesys Cloud Copilot)\nThe Genesys Digital & AI group builds the innovations that power customer experiences for 8,000+ organisations worldwide. Our team builds Genesys Cloud Copilot, the AI assistant inside Genesys Cloud. Copilot helps administrators and supervisors get answers and complete tasks in plain language, and it is available to customers in every Genesys Cloud region.\nAs a Senior Engineer you will build and run the backend services behind Copilot: the AI agents, the tools they use across Genesys Cloud, and the platform other Genesys teams use to add their own AI capabilities. We release often and aim to deliver useful, applied AI features to as many customers as possible.\nWhat You Will Do:\nOwn features end to end. Design, build, test, deploy and support Copilot backend capabilities, including on-call and support after release. \nBuild AI agents for real customers. Work on how Copilot’s agents plan, call tools, ask the user before taking actions, and manage what goes into the model’s context. \nMake the platform easy to build on. Improve the framework, documentation and tooling that other Genesys teams use to contribute agents and tools, and review their designs and code. \nIntegrate across Genesys Cloud. Connect Copilot to other Genesys Cloud services and user interfaces through APIs and events. \nMeasure answer quality, not only uptime. Write automated tests and LLM evaluations, and use the results to decide on model and prompt changes. \nKeep the service stable and cost-efficient as usage grows. Use monitoring, load testing and usage data to manage reliability, latency and model costs. \nBuild in security and compliance from the start. Protect customer data and meet enterprise privacy and regulatory requirements. \nPlan and lead larger pieces of work. Write design documents, take them through review, and break the work down so others can deliver it. \nCommunicate clearly. Keep product managers and partner teams informed, and explain trade-offs so others can make a decision. \nHelp the team grow. Share knowledge, pair program and give kind, direct feedback. Mentor associate and mid-level engineers. \nWhat We're Looking For:\nBachelor’s degree in computer science (or equivalent experience). \n5+ years building backend or platform software, with evidence of strong ownership of services in production. \nProficiency in Python or other language(s), plus solid foundations in algorithms, data structures and distributed systems design. \nExperience with service and event-driven architectures (REST, WebSockets, Kafka), schema evolution, idempotency, backwards-compatible APIs and data modelling. \nComfortable with AWS (Lambda, API Gateway, DynamoDB, S3, IAM, KMS) and modern DevOps/SRE practice: CI/CD, infrastructure as code (CloudFormation or Serverless Framework), automated testing, observability, runbooks and on-call. \nStrong communication skills: able to align with Product and explain complex ideas simply. \nA growth mindset, healthy pragmatism and a bias to action. \nUsing AI coding tools effectively in your own development work. \nDesirable Experience or an Interest in Learning:\nAgent frameworks such as Strands Agents or LangGraph, and foundation models on AWS Bedrock (for example Anthropic Claude). \nHands-on experience building with LLMs, at work or in serious side projects: tool calling, prompt and context management, retrieval, evaluation and guardrails. \nModel Context Protocol (MCP) servers, clients or tooling. \nLLM evaluation: LLM-as-judge scoring, simulated users, running evaluations in CI, and the cost and latency trade-offs between models. \nRetrieval-augmented generation (RAG) and multilingual knowledge search. \nObservability at scale: metrics, traces, logs, SLOs and error budgets. \nSecurity, privacy and governance of enterprise software, including GDPR and FedRAMP. \nOur team already includes people of many genders, nationalities, ages and backgrounds. Diverse teams build better products, full stop; so if you’re unsure whether you meet every bullet, please apply anyway. We’re keen to hear how your unique experience can strengthen our crew.\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":8532,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Unified Communications","Conversational AI","AI Agents","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-10-20T15:33:19Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":21,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/genesys-senior-ai-software-engineer","json_url":"https://alion.io/job/genesys-senior-ai-software-engineer.json","meta":{"generated_at":"2026-10-23T10:14:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15598,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":660},"rest":"https://alion.io/mcp/rest/get_company?id=660"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgenesys-senior-ai-software-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgenesys-senior-ai-software-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgenesys-senior-ai-software-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/genesys-senior-ai-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenesys-senior-ai-software-engineer"}]}