{"id":1191892,"url":"https://alion.io/job/tensorops-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":687284,"name":"TensorOps","domain":"tensorops.com","url":"https://alion.io/company/tensorops","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":246000,"period":"year","method":"global_role_seniority_cell","sample_n":1271},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cloudflare","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Notion","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"ServiceNow","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-24T15:55:52Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T00:45:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About TensorOps\nTensorOps is a boutique AI consultancy that bridges strategy and execution, we design and ship production-grade AI systems for enterprise clients, from Fortune 500 companies to fast-growing unicorns. Our work spans agentic AI, LLM fine-tuning, RAG systems, and ML-driven products, deployed on AWS, GCP, and Azure.\nWe've shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns and NASDAQ-listed companies (including Notion, ServiceNow, JFrog, Seeking Alpha, Armis, and GoCardless), and get 95% of validated ideas into production within two months. We're Google Cloud, AWS, and Cloudflare partners, and we're 100% remote by design.\nAbout the role\nWe're hiring a Senior ML Engineer to contribute to technical direction across client engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment.\nIn this role, you will:\nDesign, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients\nOwn technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration\nWork directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions\nMentor and support other ML engineers on the team - code reviews, technical guidance, and knowledge sharing\nHelp shape internal best practices, tooling, and technical standards as the team grows\nRepresent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences\nYou’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning. \nRequirements\n 5+ years of professional experience in Machine Learning, AI Engineering, or a related role\nStrong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code\nProven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn)\nExperience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain\nFamiliarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows\nExperience deploying and scaling ML systems on AWS, GCP, or Azure\nStrong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency)\nExperience working with stakeholders or clients is a plus\nWhat We Offer\n100% Remote Work: no mandatory office days, work from wherever\nFunded certifications: fully paid AWS and GCP professional certifications\nDynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries\nInternational Clients: Collaborate with global organizations and solve real-world challenges at scale\nUrban Sports Club Membership: Supporting your physical and mental wellbeing\nMonthly Bolt Credits: For rides\n Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate","description_format":"text","description_chars":3117,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Company events","Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T17:03:53Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":25,"reasons":["conf:1","win:early"],"computed_at":"2026-09-25T02:34:30Z"},"pay":null,"html_url":"https://alion.io/job/tensorops-senior-ai-engineer","json_url":"https://alion.io/job/tensorops-senior-ai-engineer.json","meta":{"generated_at":"2026-09-25T02:34:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2775,"day_limit":5000,"remaining_today":2225,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}