{"id":57226,"url":"https://alion.io/job/hophr-aiml-engineer","title":"AI/ML Engineer","company":{"id":19071,"name":"HopHR","domain":"hophr.com","url":"https://alion.io/company/hophr","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"D","score":44,"open_postings":28,"ghost_share":0.929,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":143000,"max_usd":277000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":508},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"DeepEval","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-04-22T18:34:10Z","employer_posted_date":"2026-04-22","last_verified_at":"2026-10-27T05:15:21Z","board_verified":true,"closed_at":null,"days_open":187,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":187},"description":"Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients - including 5 of the Fortune 10 - processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.\nWe are now building our Silicon Valley engineering team - a small, senior group focused on next-generation AI research and product.\nLocation: San Francisco, SoMa - minimum 4 days per week in-office.\nWhat you'll do\nBuild and maintain production-grade LLM pipelines and agentic workflows.\nDesign and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale.\nImplement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi-agent coordination, and reasoning loops.\nOwn prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation.\nIntegrate AI features into large-scale data pipelines; maintain observability and guardrails in production.\nWhat we require\nBS/MS in Computer Science, Machine Learning, or related field.\n3-5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production.\nStrong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes.\nPortfolio of shipped AI work required - agentic pipelines, RAG systems, or fine-tuned models.\nNo visa sponsorship. 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