{"id":880121,"url":"https://alion.io/job/closure-tech-aiml-engineer","title":"AI/ML Engineer","company":{"id":674091,"name":"ClosureTech","domain":"closure-tech.com","url":"https://alion.io/company/closure-tech","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Chantilly, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":149000,"max_usd":270000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":637},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"AWS","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Machine Learning","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-05-21T15:49:34Z","employer_posted_date":"2026-08-22","last_verified_at":"2026-09-24T01:18:34Z","board_verified":true,"closed_at":null,"days_open":125,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":125},"description":"Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development and optimizing data storage through Postgres schema refinement.\nClearance Requirement: TS/SCI with Polygraph\nKey Responsibilities:\nImplement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.\nIntegrate LLMs into applications using available APIs and frameworks.\nDevelop and maintain REST API interactions to support data retrieval and system integration.\nDesign or refine Postgres schemas to improve data organization and query performance.\nRequired Qualifications:\nDemonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.\nAbility to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.\nExperience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.\nStrong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.\nActive/current TS/SCI with required polygraph.\nWillingness to work onsite full time.\nUS citizenship required.\nSenior Labor Category: Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate\nPreferred Qualifications:\nAdvanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.\nExperience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.\nFamiliarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.\nExperience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.\nExperience designing and integrating REST APIs and scalable data architectures.","description_format":"text","description_chars":2265,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-14T00:11:44Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.368,"p_room":0.28,"age_days":125,"expected_fill_days":46,"reasons":["conf:4","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/closure-tech-aiml-engineer","json_url":"https://alion.io/job/closure-tech-aiml-engineer.json","meta":{"generated_at":"2026-09-24T08:36:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}