{"id":2149639,"url":"https://alion.io/job/ryzlabs-principal-ml-engineer","title":"Principal ML Engineer","company":{"id":4626,"name":"Ryzlabs","domain":"ryzlabs.com","url":"https://alion.io/company/ryzlabs","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","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":["AR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":145000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1048},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Threat Modeling","optional":false},{"name":"TypeScript","optional":false},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-09T03:57:18Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T04:35:44Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Location: Remote, only for candidates in LATAM\nJob Overview\nRyz Labs is looking for a Principal Machine Learning Engineer to join the core engineering team of one of our key international clients. In this role, you will play a pivotal part in shaping our client’s next-generation AI platforms, sitting at the intersection of production systems, applied AI, and engineering excellence.\nYou will bridge distributed systems architecture with hands-on MLOps and LLM engineering. We are seeking an exceptional technical leader who can design scalable multi-tenant architectures, build robust AI agent governance frameworks, and serve as a trusted technical authority collaborating directly with product managers and key client stakeholders.\nKey Responsibilities\nProduction ML & Optimization: Deploy and manage AI models at scale, monitoring performance, hallucination rates, drift, latency, and infrastructure costs.\nArchitecture & Delivery: Design distributed, event-driven microservices using Python, Go, or TypeScript while building IaC and CI/CD pipelines to ship your own services.\nAI Security & Governance: Implement agent permission structures, human-in-the-loop workflows, data isolation boundaries, and prompt injection defenses.\nProduct Collaboration: Partner with Product Managers from inception to translate business requirements into scalable architectures and present trade-offs to executives.\nWhat You Bring\n12-15+ years in software engineering, with a clear evolution from Backend/Distributed Systems Architecture into applied Production ML Engineering.\nProduction ML Expertise: Deep experience with MLOps, model evaluation rubrics, advanced RAG, vector search (embeddings, HNSW, hybrid search), and fine-tuning. (We are looking for engineers building real systems, not just consuming LLM APIs).\nSoftware Architecture: Strong mastery of distributed systems, microservices, and asynchronous event-driven patterns in Python, Go, or TypeScript.\nPractical DevOps & Cloud: Hands-on command of Docker, cloud infrastructure (AWS/GCP/Azure), and automated CI/CD pipelines.\nAI Governance & Security: Practical knowledge of LLM safety, threat modeling, data boundary enforcement, and agent security.\nFluent English & Communication: Ability to articulate complex technical trade-offs (e.g., RAG vs. Fine-tuning, latency vs. accuracy) clearly to client executives and non-technical stakeholders.\nNice-to-Have\nPrior experience with multi-agent orchestration frameworks (e.g., LlamaIndex, Semantic Kernel, AutoGen, CrewAI, MCP).\nExperience in fast-paced consulting, advisory, or high-growth tech platforms.\nAbout RYZ Labs:\nRYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.\nOur teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.\nAt RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.\nOur values and what to expect:\n- Customer First Mentality - every decision we make should be made through the lens of the customer.\n- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.\n- Ownership - step up if you see an opportunity to help, even if not your core responsibility.\n- Humility and Respect - be willing to learn, be vulnerable, and treat everyone that interacts with RYZ with respect.\n- Frugality - being frugal and cost-conscious helps us do more with less.\n- Deliver Impact - get things done in the most efficient way.\n- Raise our Standards - always be looking to improve our processes, our team, our expectations. Status quo is not good enough and never should be.","description_format":"text","description_chars":4490,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-09T05:13:26Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":55,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/ryzlabs-principal-ml-engineer","json_url":"https://alion.io/job/ryzlabs-principal-ml-engineer.json","meta":{"generated_at":"2026-10-11T05:03:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4454,"day_limit":5000,"remaining_today":546,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4626},"rest":"https://alion.io/mcp/rest/get_company?id=4626"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fryzlabs-principal-ml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fryzlabs-principal-ml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fryzlabs-principal-ml-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ryzlabs-principal-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fryzlabs-principal-ml-engineer"}]}