{"id":4180595,"url":"https://alion.io/job/clera-founding-engineer-nlp-systems-and-infrastructure","title":"Founding Engineer, NLP Systems and Infrastructure","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":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":120000,"currency":"EUR","period":"year","gross":null,"usd_annual":133187},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"NLP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-12T17:11:46Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T17:22:33Z","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 AI and dual-use technology company as its first technical hire. You will turn a research-grade prototype into reliable production software for enterprise and public-sector users, with broad ownership and the opportunity to build an engineering team.\nWhat You'll Do\nArchitect production systems spanning orchestrated data and NLP pipelines, AI/ML integrations, CI/CD, observability, and cloud or on-premises deployment.\n\nSet and own the engineering roadmap, balancing delivery speed, quality, and security.\n\nBuild and validate the first production release hands-on, including infrastructure and security decisions.\n\nHire and lead an engineering team while setting technical direction, engineering standards, and a positive team culture.\n\nWork closely with company leadership and users to iterate on the product.\n\nWhat We're Looking For\nAt least 5 years building and operating production data-intensive or NLP systems, including ingestion, deduplication, entity resolution, queues, and orchestrated pipelines.\n\nStrong Python skills and production engineering practices, including automated testing, CI/CD, and monitoring for data and model drift.\n\nExperience with PostgreSQL and at least one graph database, vector store, or search engine, plus embeddings, vector search, and language model integrations.\n\nExperience managing language model costs, versioning, and non-deterministic behavior.\n\nAbility to build clean APIs and functional analyst-facing interfaces using React, Vue, or similar technologies.\n\nExperience owning production architecture, observability, and cloud and on-premises deployment options. Docker, Kubernetes, or Helm experience is useful.\n\nOpen-web or platform data acquisition experience and awareness of related legal and ethical considerations are valued.\n\nWillingness and eligibility to obtain a security clearance in the near future. German language skills and early-stage startup experience are helpful.\n\nCompensation & Benefits\nBase salary: €60,000 to €120,000 annually. 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