{"id":2640925,"url":"https://alion.io/job/amazon-software-development-engineer-ai-runtime","title":"Software Development Engineer, AI Runtime","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4597,"ghost_share":0,"stale_share":0.889,"repost_share":0.002,"time_to_fill_p50_days":22,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","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":["Pune, 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":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":true}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-30T02:05:46Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"We are looking for a passionate and experienced Software Development Engineer to help us build and scale the next generation of AI runtime infrastructure for Alexa+. You will design and implement Tier-1 distributed systems that orchestrate expert agent executions, manage LLM inference pipelines, and ensure reliable, low-latency delivery across Alexa-enabled devices globally.\nThis is a high-impact role where your work directly shapes how millions of customers experience Alexa+ every day.\nKey job responsibilities\n- Design, build, and operate large-scale distributed services that power Alexa+ Expert executions\n- Develop and optimize LLM orchestration pipelines - including model serving, prompt routing, and inference optimization\n- Build multi-agent coordination systems that route requests to the right expert agents with minimal latency\n- Own the operational excellence of Tier-1 services, ensuring 99.99%+ availability at scale\n- Collaborate with applied scientists and ML engineers to integrate new AI capabilities into production\n- Drive architectural decisions that balance performance, reliability, and cost efficiency\n- Mentor teammates and raise the engineering bar through code reviews, design reviews, and technical leadership\nAbout the team\nThe AI Runtime team is the backbone of Alexa+. We own the infrastructure that powers Expert executions - the multi-agent systems that bring Alexa+'s intelligent capabilities to life for hundreds of millions of customers worldwide. Our services orchestrate LLM inference, coordinate expert agents, and deliver responses at massive scale with low latency. When a customer interacts with Alexa+ and it feels magical, our platform made it happen.\nBasic qualifications\n- 3+ years of non-internship professional software development experience\n- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field\n- Experience programming with at least one software programming language\nPreferred qualifications\n- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\n- Bachelor's degree in computer science or equivalent\n- System design with AI components and able to evaluate latency, cost, reliability, and accuracy.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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