{"id":39363,"url":"https://alion.io/job/genesys-aiml-engineer-2","title":"AI/ML 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":86,"open_postings":27,"ghost_share":0.037,"stale_share":0.37,"repost_share":0.148,"time_to_fill_p50_days":24,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-08-04T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T21:51:55Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":101},"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.\nSoftware Engineer, AI/ML\nIndia\nRole Overview:\nThis role advances large scale conversational AI systems that power intelligent customer and employee interactions across thousands of organisations worldwide. You will build and optimise production grade AI services that improve intent understanding, response quality, and system reliability at scale. At Genesys, we combine empathy with AI innovation to create meaningful experiences, and this role contributes directly to how people engage with businesses globally. You will operate at the intersection of software engineering and applied machine learning, influencing architecture decisions, model performance, and platform scalability. The position offers strong exposure to enterprise AI systems, modern LLM frameworks, and cross functional collaboration with product, research, and design teams, creating clear pathways for technical growth and increased ownership.\nKey Responsibilities:\nDesign and develop scalable AI driven systems that improve conversational accuracy and user experience across global platforms\nBuild and optimise real time and asynchronous AI pipelines to enhance system performance, latency, and reliability\nDevelop clean, maintainable backend services and APIs that integrate AI capabilities into distributed microservice architectures\nDeploy and manage cloud native microservices on AWS to ensure high availability and resilience of AI systems\nFine tune and optimise large language models to improve inference efficiency and production readiness\nCollaborate with researchers, data scientists, and engineers to translate AI innovations into production grade solutions\nMonitor, evaluate, and improve AI workflows to drive measurable gains in performance, scalability, and operational efficiency\nContribute to the evolution of conversational AI, agentic systems, and natural language processing capabilities within the platform\nRequired Qualifications:\nBachelor's degree in Computer Science, Software Engineering, Data Science, or a related field with 3+ years of relevant industry experience; or a Master's/Ph.D. with 1-2 years of relevant experience preferred.\nProficiency in Python with experience in backend development.\nUnderstanding of software engineering principles, system architecture, and distributed computing.\nExperience working with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).\nExperience in fine-tuning LLMs and solid understanding of inference frameworks like vLLM\nGood knowledge of API development and microservice architecture.\nExperience with cloud platforms such as AWS, GCP, or Azure.\nStrong problem-solving skills and ability to learn in a fast-paced, collaborative environment.\nPreferred Qualifications:\nExperience building real time AI applications such as chatbots, voice assistants, or AI copilots\nUnderstanding of model deployment strategies and optimisation techniques for scalable systems\nContributions to open source AI projects, research publications, or patents in machine learning\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":7383,"description_truncated":false,"requirements":{"experience_years_min":3,"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":"2026-08-04T00:00:00Z"},{"event":"close","at":"2026-08-07T08:40:35Z"},{"event":"reopen","at":"2026-11-13T14:54:07Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.39,"p_room":0.28,"age_days":101,"expected_fill_days":24,"reasons":["conf:0","win:tail","crowd:brand"],"computed_at":"2026-11-13T22:19:15Z"},"pay":null,"html_url":"https://alion.io/job/genesys-aiml-engineer-2","json_url":"https://alion.io/job/genesys-aiml-engineer-2.json","meta":{"generated_at":"2026-11-13T22:19:15Z","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":44535,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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-aiml-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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-aiml-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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-aiml-engineer-2"},{"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-aiml-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenesys-aiml-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":39363}},{"tool":"search_jobs","arguments":{"company":"genesys.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":39363},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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