{"id":3171429,"url":"https://alion.io/job/clera-mid-level-ai-engineer-3","title":"Mid-Level AI Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-25T05:49:26Z"}},"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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-23T17:24:34Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T09:24:48Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nJoin a core product team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM-based services and help make them reliable, safe, and useful for customers.\nWhat You'll Do\nDesign and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.\n\nBuild production retrieval-augmented generation pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.\n\nImplement multi-agent orchestration, tool calling, memory, and reasoning components.\n\nDevelop evaluation and safety tools to measure model performance, detect regressions, and support reliable production use.\n\nDeliver full-stack AI features, from APIs and data models through frontend and backend implementation, testing, deployment, and monitoring.\n\nWork with product and design partners to set priorities and success metrics, then improve features using user feedback and telemetry.\n\nWhat We're Looking For\nTwo to eight years of software engineering experience delivering user-facing or backend products, including production engineering experience in a product-focused environment.\n\nPractical experience deploying LLM services in production, including prompt design, orchestration, and tool integration.\n\nProficiency with Python and TypeScript/React or equivalent, plus cloud platforms such as AWS or GCP and relational or NoSQL databases.\n\nWorking knowledge of RAG, vector databases, embeddings, and retrieval pipelines.\n\nExperience building automated tests, evaluations, and monitoring for production AI systems, as well as API-driven, high-throughput systems and real-time features.\n\nFamiliarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.\n\nExperience with multi-tenant or enterprise systems, or regulated domains such as healthcare, fintech, or legal; familiarity with fine-tuning or multimodal models is also useful.\n\nA completed university degree and a track record of owning features from data model through deployment and monitoring.\n\nCompensation & Benefits\nBase salary: $150,000 to $180,000 annually. 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