{"id":133171,"url":"https://alion.io/job/avathon-ai-engineer","title":"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":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":110000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":3,"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":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","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":"DeepEval","optional":true},{"name":"Digital Twin","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-02-26T21:22:27Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-16T22:57:55Z","board_verified":true,"closed_at":null,"days_open":232,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":231},"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\nSenior AI Engineer - Generative AI & LLMs\nAt Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing. As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade machine learning applications.\nThis role is ideal for someone with strong engineering depth who can bridge research and production-building robust AI platforms, optimizing LLM workflows, and delivering high-impact solutions across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation.\nWith 3-5 years of hands-on industry experience, you are expected to bring expertise in AI system design, ML engineering, LLM deployment, and scalable software development within fast-paced startup environments.\nYou Will\nDesign, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications\nDevelop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability\nBuild scalable backend services and APIs for AI applications using modern engineering best practices\nImplement and productionize transformer-based models and GenAI workflows for enterprise use cases\nDesign vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications\nPartner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions\nDrive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor\nImprove inference efficiency, latency optimization, cost management, and reliability of deployed AI systems\nEstablish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments\nContribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment\nStay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering\nYou'll Have\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field\n3-5 years of hands-on industry experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles\nStrong experience building and deploying LLM-based applications in production environments\nSolid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar\nStrong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases\nExperience building scalable APIs and backend systems supporting AI workflows\nFamiliarity with cloud platforms such as AWS, GCP, or Azure\nStrong software engineering fundamentals including system design, debugging, performance optimization, and production reliability\nExperience with containerization, deployment pipelines, and collaborative engineering environments\nStrong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments\nStrong communication skills and ability to work cross-functionally with technical and business stakeholder\nPreferred Qualifications\nExposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems\nFamiliarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)\nHands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection\nExposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns\nBasic understanding of MLOps practices and model lifecycle management\nExperience working on applied AI projects in academic, internship, or startup settings\nInterest in industrial AI and asset-intensive environments\nIndustry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy\nInterview Process\nAs part of the interview process, you will be asked to complete a technical assessment.\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: $110k - $130k 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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