{"id":133178,"url":"https://alion.io/job/avathon-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":1894,"name":"Avathon","domain":"avathon.com","url":"https://alion.io/company/avathon","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":93,"open_postings":30,"ghost_share":0,"stale_share":0.1,"repost_share":0,"time_to_fill_p50_days":107,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pleasanton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Arize Phoenix","optional":true},{"name":"CI/CD","optional":true},{"name":"DeepEval","optional":true},{"name":"Digital Twin","optional":true},{"name":"Hallucination","optional":true},{"name":"Jenkins","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"Travis CI","optional":true}],"status":"live","first_seen_at":"2026-02-02T18:12:20Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-17T12:37:32Z","board_verified":true,"closed_at":null,"days_open":256,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":256},"description":"Who We Are & Why Join Us\nAvathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.\nCutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.\nLearn more at: avathon.com\nAbout the Role\nAs a Senior AI Engineer at Avathon, you will play a key role in designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With minimum 5 years of industry experience, you are expected to bring strong expertise in statistical modeling, ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on high-impact projects that shape next-generation AI capabilities within the organization.\nYou Will\nDesign, develop, and deploy machine learning and Generative AI solutions to solve complex business problems\nBuild, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures for real-world applications\nApply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization\nDevelop scalable ML pipelines and production-grade systems in collaboration with Engineering teams\nConduct prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI applications\nWork closely with Product, Engineering, and Business stakeholders to translate ambiguous requirements into data-driven AI solutions\nInstrument and monitor LLM applications in production using observability tools, tracking cost, latency, quality, and drift\nContribute to model governance, responsible AI practices, and performance monitoring in production environments\nStay current with advancements in Generative AI, LLM research, and applied machine learning, incorporating relevant innovations into company solutions\nYou'll Have\nMaster’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field\nMinimum 5 years of hands-on industry experience in AI engineering, machine learning, data science, or applied AI roles\nStrong experience with Generative AI frameworks and Large Language Models (e.g., transformer architectures, fine-tuning, RAG systems)\nProficiency in Python and modern ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent ecosystems\nSolid understanding of statistical modeling, experimentation, and model evaluation methodologies\nExperience building and deploying ML models into production environments\nFamiliarity with data engineering workflows and cloud-based ML platforms (AWS, GCP, or Azure)\nStrong problem-solving skills with the ability to work independently on complex and ambiguous problem statements\nExcellent communication skills with the ability to present technical insights clearly to cross-functional stakeholders\nPreferred Qualifications\nExperience implementing Retrieval-Augmented Generation (RAG), vector databases, and embedding-based search systems\nHands-on experience with LLM observability platforms (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases) for tracing, cost tracking, and quality monitoring in production\nExperience with LLM evaluation frameworks (e.g., RAGAS, DeepEval) and evaluation patterns such as LLM-as-judge and automated regression testing\nPractical experience deploying LLM applications with guardrails, prompt versioning, hallucination detection, and model drift monitoring\nExposure to distributed training, model optimization, and scalable inference architectures\nKnowledge of MLOps practices, CI/CD for ML (Travis CI, Jenkins), and model lifecycle management\nPrior experience applying AI solutions in industrial or asset-intensive environments\nExperience working in fast-paced startup or product-driven environments\nIndustry experience in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy\n\nBenefits & Perks\nWhat are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!\nEvolving culture with the opportunity to drive new ideas and technology\nStock Option Grants\nMedical Coverage and Parental Leave Plans\n401k with Employer Match\nMonthly Technology Allowance\nNewly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas\nContract and temporary roles are not eligible for the above benefits.\nCompensation\nPay Range: $130k - $155k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.\nLocation: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.\nAvathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.\nAvathon is committed to providing reasonable accommodations throughout the recruiting process. 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