{"id":3980903,"url":"https://alion.io/job/clera-founding-engineer-187","title":"Founding 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":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","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":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Next.js","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Supabase","optional":false},{"name":"TypeScript","optional":false},{"name":"Vercel","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-09T17:22:13Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:42:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin an early-stage team building AI software for enterprise procurement. You will own customer-facing product work from discovery through delivery and help shape the technical foundations and engineering practices as the team grows.\nWhat You'll Do\nTurn customer problems into full-stack product features, from discovery through production.\n\nBuild AI-enabled workflows and shared infrastructure for agent context, tools, and evaluations.\n\nSet architectural direction across frontend, backend, databases, and infrastructure, balancing performance, security, and developer experience.\n\nDesign dependable LLM workflows with evaluation loops, guardrails, and observability, and manage latency, cost, and quality trade-offs.\n\nBuild real-time data pipelines, normalize data, and integrate with enterprise systems.\n\nReview AI-assisted code, ship frequently, and improve product quality through user feedback.\n\nContribute to hiring and define effective engineering processes and team practices.\n\nWhat We're Looking For\nAt least 3 years of full-stack engineering experience shipping end-to-end production features across frontend, backend, and infrastructure.\n\nStrong evidence of engineering ability, ownership, and initiative, including experience building products in a startup or similarly entrepreneurial environment.\n\nProduction experience with LLMs, retrieval systems, and embeddings, including reliable workflow design and evaluation.\n\nExperience shipping production systems with TypeScript and Python, and building applications with Next.js.\n\nStrong frontend, backend, database, API, and system design foundations. Experience with React, PostgreSQL or Supabase, Vercel, and REST or GraphQL APIs is useful.\n\nExperience with data-intensive B2B products and enterprise integrations; procurement, ERP, or supply chain knowledge is helpful.\n\nClear communication, sound judgment, and a hands-on approach to working in a small, collaborative team.\n\nCompensation & Benefits\nCompetitive salary and meaningful equity are offered. 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