{"id":2588895,"url":"https://alion.io/job/apple-software-engineer-ai-2","title":"Software Engineer : AI","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"B","score":78,"open_postings":993,"ghost_share":0,"stale_share":0.887,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"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":{"min_usd":14500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"FastAPI","optional":true},{"name":"GCP","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"PyTorch","optional":true},{"name":"Streamlit","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-15T04:45:25Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T15:00:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.\nDo you love building solutions to handle global complexity and immense scale? Imagine what you could do here.\nAI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.\nDescription\nThe Enterprise Data warehouse team within AiDP deals with Petabytes of data catering to a wide variety of real- time, near real-time and batch pipelines and data centric agentic solutions on these data assets. These solutions are integral part of business functions like Retail, Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. You should be able to (i) understand a business challenge, (ii) Collaborate with business and other cross functional teams (ii) design a statistical or deep learning solution to find the needed answer to it, (iii) developing it by yourself or guide another person to do it, (iv) deliver the outcome into production, (v) Keep a good governance of your work. There are massive opportunities for you deliver impactful influences to Apple.\nMinimum Qualifications\nBachelor's degree or equivalent experience, with 2+ years in software and applied AI/ML engineering\nProgramming proficiency in Python or Java\nExperience building GenAI-powered applications, including RAG pipelines, embeddings, vector databases, and semantic search integrated with structured/unstructured enterprise data\nPractical experience building AI agents or agentic workflows (planning, memory, tool use, execution loops) using frameworks such as LangChain, LlamaIndex, or similar.\nPreferred Qualifications\nFull-stack application development experience - able to design and ship end-to-end data/AI products spanning backend APIs, data services, and front-end/UI layers\nAbility to translate ambiguous business problems into scalable technical designs, and take solutions from prototype to production with attention to governance, reliability, and observability\nStrong collaboration and communication skills to work across cross-functional business and engineering teams, technical and non-technical alike\nExperience building multi-agent systems/agentic workflows that autonomously coordinate retrieval, reasoning, and action steps across a data pipeline\nExperience with cloud data platforms and cloud-native architectures (AWS, GCP, or Azure - 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