{"id":786969,"url":"https://alion.io/job/altera-ai-engineer-2","title":"AI Engineer","company":{"id":5328,"name":"Altera","domain":"altera.com","url":"https://alion.io/company/altera","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":17,"ghost_share":0,"stale_share":0.471,"repost_share":0.118,"time_to_fill_p50_days":53,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":134000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"FAISS","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Milvus","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T18:51:04Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":56},"description":"Job Details:\nJob Description:\nAI Engineer - Agentic AI Systems (High-Potential Early Career)\nLocation: Shanghai, China\nCompany: Altera\nWhy This Role Matters\nAI is shifting from models to autonomous systems. At Altera, we are building agentic AI platforms tightly coupled with FPGA acceleration, enabling intelligent systems that can reason, act, and scale in real-world environments.\nThis role is designed for high-potential engineers early in their careers who want to:\nwork on cutting-edge AI (LLMs + agents + RAG)\n\ngain exposure to hardware-software co-design\n\nand grow quickly into technical leaders in AI systems\n\nWhat You’ll Work On\nBuild Real Agentic AI Systems:\nDevelop LLM-powered agents that use tools, APIs, and data to complete complex tasks\n\nImplement RAG pipelines for large-scale knowledge integration\n\nShip end-to-end systems from data ingestion → reasoning → action\n\nGo Beyond “Model Usage”\nDesign multi-step reasoning workflows, not just prompt calls\n\nEvaluate and improve model behavior (accuracy, latency, cost)\n\nWork with both open-source and frontier models\n\nAI Meets Hardware (Differentiator)\nCollaborate with FPGA/ASIC teams on hardware-aware AI design\n\nLearn how AI systems are optimized across CPU / GPU / FPGA\n\nExplore efficient inference and system-level performance tradeoffs\n\nBuild Platforms, Not Just Features\nDevelop reusable components for:\nmemory and context management\n\ntool integration\n\nknowledge retrieval\n\nContribute to internal AI platforms used across teams\n\nWhat You’ll Get\nFast Growth\nWork directly with senior architects and domain experts\n\nClear path toward Senior Engineer → Architect roles\n\nHigh Learning Density\nExposure to both:\nmodern AI systems (LLMs, agents)\n\nhardware acceleration (FPGA/ASIC)\n\nReal Ownership\nBuild production systems-not demos\n\nYour work will be used in real engineering workflows\n\nUnique Positioning\nFew roles combine:\nAgentic AI systems\n\nEDA / semiconductor domain\n\nhardware-aware AI optimization\n\nQualifications:\nWhat We’re Looking For\nBackground\nMaster’s (or exceptional Bachelor’s) in CS, EE, or related field\n\n1-3 years experience (internships, research, or industry)\n\nTechnical Strength\nStrong coding skills in Python (C++ is a plus)\n\nHands-on experience building:\nAI/ML projects, OR\n\nbackend / distributed systems\n\nSolid fundamentals in:\ndata structures\n\nsystem design basics\n\nSignal of Excellence (What Sets You Apart)\nYou’ve built something non-trivial:\nAI project, open-source contribution, or research prototype\n\nYou learn new frameworks quickly and ship working systems\n\nYou’re curious about how systems work end-to-end, not just models\n\nBonus Points\nExperience with:\nLangChain, LlamaIndex, or similar\n\nvector databases (FAISS, Milvus, etc.)\n\nExposure to:\nRAG, prompt engineering, or agent workflows\n\nhardware acceleration or performance optimization\n\nJob Type:\nRegularShift:\nShift 1 (China)Primary Location:\nShanghai, ChinaAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, 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