{"id":1173128,"url":"https://alion.io/job/recruitment-room-aiml-engineer","title":"AI/ML Engineer","company":{"id":100174,"name":"Recruitment Room","domain":"recruitmentroom.net","url":"https://alion.io/company/recruitment-room","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"Anthropic","optional":true},{"name":"Gemini","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-08-26T09:20:00Z","employer_posted_date":null,"last_verified_at":"2026-08-26T09:20:00Z","board_verified":false,"closed_at":null,"days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"AI/ML Engineer\nJob Type: Full-time\nLocation: Hybrid\nCompensation: $200,000-$350,000/year\nOpenings: 1\nAbout the Opportunity\nWe are seeking an AI/ML Engineer to build and deploy secure, scalable machine learning systems while contributing to advanced AI infrastructure and mission-critical initiatives.\nThe role combines hands-on engineering across LLMs, RAG, agentic AI, cloud platforms, data infrastructure, APIs, and secure DevOps practices.\nWhat You'll Do\nDesign, implement, and optimize production-grade AI/ML applications using LLMs, RAG, and prompt engineering.\n\nDevelop and orchestrate multi-agent systems, including tool use and agent workflows.\n\nDeploy AI solutions across secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.\n\nBuild and maintain robust data pipelines and ETL processes for AI training and inference.\n\nDevelop metadata catalogs and ontologies to support high-quality AI data.\n\nCreate and maintain REST APIs and SDK integrations for data and model interactions.\n\nCollaborate with product, security, and engineering teams on secure and scalable implementations.\n\nApply modern DevOps and CI/CD practices throughout development and deployment.\n\nDocument technical decisions and communicate complex technical concepts to both technical and non-technical stakeholders.\n\nRequirements\nStrong proficiency in Python for AI/ML development, including REST APIs and SDK integration.\n\nHands-on production experience with LLMs, RAG systems, and prompt engineering.\n\nExperience with multi-agent orchestration, tool use, LangGraph, and LangChain.\n\nStrong understanding of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.\n\nExperience building and maintaining data pipelines, ETL processes, ontologies, and metadata catalogs.\n\nStrong understanding of secure coding and CI/CD practices.\n\nExcellent written and verbal communication skills.\n\nPreferred Qualifications\nExperience with enterprise AI and agentic platforms, including Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.\n\nKnowledge of MCP metadata catalog platforms and advanced API development techniques.\n\nExperience working with government or highly regulated cloud environments.\n\nFamiliarity with relevant compliance standards.\n\nRole Overview\nThis is a hands-on engineering opportunity for someone comfortable working across AI application development, cloud infrastructure, data systems, and agentic technologies while maintaining strong security and engineering standards.","description_format":"text","description_chars":2572,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T09:13:47Z"}],"liveness":{"score":8,"band":"cold","label":"Long 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