{"id":2734478,"url":"https://alion.io/job/clera-ai-engineer-mid-level-9","title":"AI Engineer (Mid-Level)","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":"2026-10-16T05:45:00Z"}},"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":"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":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-16T17:20:02Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T03:18:25Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin a core product team building agentic AI systems that automate complex, multi-step workflows across regulated and enterprise domains. You will ship production LLM services and help make them reliable, safe, and useful for customers.\nWhat You'll Do\nDesign and maintain agentic systems for workflows across healthcare, legal, fintech, logistics, and compliance.\n\nBuild and operate RAG pipelines, including vector databases, embeddings, indexing, and domain-specific search.\n\nDevelop multi-agent orchestration, tool-calling, memory, and reasoning components.\n\nCreate evaluation, testing, and safety infrastructure to measure performance and catch regressions.\n\nDeliver full-stack AI features, from APIs and data models to frontend and backend code, deployment, monitoring, and ongoing operations.\n\nWork with product and design partners to prioritize work, define success measures, and improve features using user feedback and telemetry.\n\nWhat We're Looking For\nTwo to eight years of software engineering experience building and shipping user-facing or backend products, preferably at a startup or product-focused company.\n\nProfessional experience deploying LLM-based services, 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, regulated industries, fine-tuning, or multimodal models is useful.\n\nCompensation & Benefits\nBase salary: $150,000 to $180,000 annually. 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