{"id":80414,"url":"https://alion.io/job/clera-ai-engineer-mid-level-3","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":38,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-02T06:13:15Z"}},"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":180000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"CrewAI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-06-03T22:40:09Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-11-02T19:57:27Z","board_verified":true,"closed_at":null,"days_open":152,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":151},"description":"About the Role\nJoin a fast-moving, pre-seed-backed AI startup building the next generation of agentic systems that automate complex, multi-step workflows across regulated and enterprise domains - including healthcare, legal, fintech, logistics, and compliance. As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end-to-end, collaborate closely with founders and product, and ship features that deliver measurable impact for real users.\nWhat You'll Do\nDesign, build, and maintain agentic systems that automate complex, multi-step workflows across regulated industries.\n\nOwn production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale.\n\nImplement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.\n\nDevelop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability.\n\nShip full-stack AI products from MVP to enterprise-grade - designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.\n\nCollaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.\n\nWhat We're Looking For\nMust-haves:\n2-8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products.\n\nPractical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration.\n\nProficiency across the stack: Python plus TypeScript/React (or equivalent), cloud platforms (AWS or GCP), and relational or NoSQL databases.\n\nWorking knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment on when to apply each approach.\n\nExperience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos.\n\nExperience designing API-driven, high-throughput systems and real-time product features.\n\nNice-to-haves:\nExperience with agent or workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger).\n\nFamiliarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration.\n\nBackground building multi-tenant or enterprise-ready systems, or prior experience in regulated industries such as healthcare, fintech, or legal.\n\nCompensation & Benefits\nSalary: $180,000 - 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