{"id":777637,"url":"https://alion.io/job/asteri-ai-ml-engineer","title":"AI & ML Engineer","company":{"id":669919,"name":"Asteri","domain":"asteri.ai","url":"https://alion.io/company/asteri-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":137000,"max_usd":260000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"DVC","optional":true},{"name":"Hugging Face","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"MLFlow","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-01-05T05:46:17Z","employer_posted_date":"2026-01-05","last_verified_at":"2026-10-29T07:54:42Z","board_verified":true,"closed_at":null,"days_open":297,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":296},"description":"About Us\nAsteri is an AI-native Work Intelligence and Orchestration Platform that gives large enterprises the intelligence to understand how work is performed today and how it should be performed in the era of AI, eliminating inefficiencies and identifying high-impact opportunities for AI augmentation. Our platform orchestrates AI and human work with enterprise-grade governance, auditability, and measurement built for production environments at scale.\nThe Role\nWe are looking for an AI & ML Engineer with strong software engineering foundations to join our growing engineering team. This role sits at the intersection of applied AI and production software and focuses on building reliable, scalable, enterprise-ready AI systems.\nYou will work closely with software engineers and platform teams to design, deploy, and operate AI-powered capabilities that directly power our core product. This is not a research-only role: success is measured by production impact, reliability, and customer value.\nIf you are excited about building AI systems that operate in real enterprise environments with real constraints, real users, and real accountability - we’d love to talk.\nWhat You’ll Do\nDesign, build, and operate production-grade AI/ML systems that power Asteri’s orchestration platform\n\nCollaborate closely with backend, platform, and frontend engineers to integrate AI capabilities into scalable, reliable product workflows\n\nDeploy and iterate on LLM-based applications in production, continuously evaluating quality, latency, and cost\n\nOwn retrieval and agentic systems (e.g., RAG pipelines, workflow agents, policy-driven logic) end-to-end\n\nDefine and run rigorous evaluation and testing for AI systems, including offline experiments and production monitoring\n\nImprove model performance and system behavior over time through experimentation, tuning, and system-level optimizations\n\nImplement strong engineering practices for AI development, including testing, CI/CD, versioning, and rollback strategies\n\nStay current with advances in applied AI and generative models and translate relevant techniques into practical product improvements\n\nPartner with cross-functional teams to understand product requirements and translate them into robust AI solutions\n\nWhat Will Make You Successful\nMust-Haves\nBachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience\n\nStrong proficiency in Python and experience building production software\n\n5+ years of professional experience spanning software engineering and applied AI/ML development\n\nExperience deploying and operating ML or LLM-based systems in production environments\n\nSolid understanding of machine learning fundamentals, model evaluation, and system-level tradeoffs\n\nExperience with cloud-based deployment of ML systems\n\nStrong software engineering skills, including systems design, testing, and performance optimization\n\nAbility to reason about and communicate complex technical concepts clearly\n\nComfortable working independently while collaborating closely with a senior engineering team\n\nNice-to-Haves\nExperience building applications with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face\n\nDeep experience with retrieval-augmented generation (RAG) systems and optimization techniques\n\nFamiliarity with ML lifecycle and experimentation tools (e.g., MLflow, Weights & Biases, DVC)\n\nExperience building distributed or data-intensive systems\n\nExposure to enterprise or regulated environments\n\nWhy Join Us\nYou’ll have direct ownership of critical AI systems, real production impact, and the opportunity to shape how AI is safely and effectively deployed alongside humans at scale. 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