{"id":886227,"url":"https://alion.io/job/tilt-principal-aiml-engineer","title":"Principal AI/ML Engineer","company":{"id":714123,"name":"Tilt","domain":"tilt.io","url":"https://alion.io/company/tilt-6","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"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":["US"],"hiring_countries_total":1,"salary":{"min":240000,"max":320000,"currency":"USD","period":"year","gross":null,"usd_annual":320000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"GitHub","optional":false},{"name":"LangChain","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}],"status":"live","first_seen_at":"2026-09-14T04:03:09Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-03T20:49:56Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"About Agora Intelligence (d.b.a. Tilt)\nAgora Intelligence is building the audited methodology layer agents call before touching portfolios. Our product, Tilt, is GitHub for rules-based investment methodologies: an open platform and marketplace where investment strategies are created, tested, audited, and distributed - by humans and AI agents alike. As AI agents begin managing real portfolios, they need a trusted source of verified investment logic before they can act. Tilt is that source.\nWe operate across two connected surfaces: InvestOS, an open standard that lets any brokerage or platform plug verified methodology into its own AI experience; and Tilt, the reference implementation of InvestOS. Tilt is an agentic harness where investors, portfolio managers, and creators can author, remix, and publish strategies. We're a small, senior team (from BlackRock, Bloomberg, BGI, and Quant Funds) backed by Portage Ventures, Lerer Hippeau, Cumberland Investments (and more), working with major brokerages and financial data providers.\nWhat We're Building\nInvestOS - an open standard for rules-based methodologies and its reference implementation.\nWe believe any idea - a theme, a trend, a thesis - can be turned into an investable view. On Tilt, anyone can express a view as a rules-based basket of assets in seconds, backed by evidence and scored against what actually happens. Whether you're modeling a thematic strategy, tracking an emerging technology, or capturing the public-market footprint of a private company, what used to take an index committee months now takes an API call - 100× faster, at a fraction of the cost. We also transform views found on the open web, into rules-based strategies. This lets us measure the performance of any opinion or prediction about the future. The unit is a tilt: a creator-authored view of the world.\nThe bigger bet: as AI agents take on more of investing, they'll need an open, trusted standard for how investment views are expressed, verified, and combined. When anyone can generate a strategy in seconds, the strategies aren't the asset. The system that versions, tests, and grades them is. We're building that standard - and the platform where those views are made. We’re also building the learning loops for when views resolve against reality, as measured by markets.\nWho We Are\nWe're a team of ~25 senior-to-principal engineers, designers and AI/ML researchers. More than half the team are former founders. We move fast, challenge assumptions, and believe AI should fundamentally change how financial products are built. We have no management hierarchy and work remotely with 4 one-week hackathons per year. “Full stack” to us means you own a slice of the product, including its roadmap and go-to-market.\nThe Opportunity\nCreating an investable index from a conversation with AI isn't a traditional machine learning problem. Users aren't simply prompting a chatbot-they're collaborating with an intelligent system that must reason over financial information, construct investment methodologies, evaluate evidence, and continuously improve as new information emerges.\nWe're looking for a Principal AI/ML Engineer who thrives in ambiguity, enjoys solving complex research and engineering problems, and wants to define what AI-native investing feels like.\nYou'll work directly with the founders, product engineers, and designers to shape both the intelligence behind the product and the company itself. This isn't a role where you'll be handed research problems. You'll help identify opportunities, influence our AI strategy, and set the standard for machine learning across Tilt.\nWhat You'll Do\nDesign and build the AI systems that power methodology generation, financial reasoning, retrieval, ranking, and evaluation.\nDevelop agentic workflows that combine language models, structured financial data, and external tools into reliable production systems.\nImprove the quality, consistency, and trustworthiness of our AI through evaluation frameworks, benchmarking, and continuous experimentation.\nPartner closely with product engineers and designers to turn cutting-edge AI capabilities into intuitive product experiences.\nStay at the frontier of modern AI, rapidly evaluating new models, techniques, and tooling as the ecosystem evolves.\nMake thoughtful tradeoffs between research ambition, production reliability, latency, and cost.\nRaise the AI bar across the company by contributing to architecture, experimentation, and technical leadership.\nContinuously improve how we build by leveraging AI throughout research, experimentation, coding, and evaluation.\nWho You Are\nYou've spent years building production AI systems, not just training models, and understand the difference.\nYou naturally think about product outcomes alongside model performance.\nYou have strong machine learning and software engineering fundamentals and are comfortable taking ideas from research through deployment.\nYou're able to decompose difficult research problems into practical, scalable systems.\nYou know when to pursue state-of-the-art techniques and when simpler solutions deliver better outcomes.\nYou communicate technical ideas clearly and enjoy working closely with engineers, designers, and founders.\nYou're comfortable taking ownership without waiting for direction and enjoy exploring entirely new problem spaces.\nYou believe AI should fundamentally change how financial products are built and actively experiment with the latest models and tooling.\nWhat Sets You Apart\nExperience building production systems with large language models, agents, or retrieval-augmented generation.\nExperience designing evaluation frameworks for AI quality, reliability, and reasoning.\nStrong software engineering skills alongside deep machine learning expertise.\nExperience working with financial, scientific, or other information-dense domains.\nExperience at an early-stage startup where you've owned significant technical or research decisions.\nYou're energized by difficult AI problems and continuously explore new models, research, and infrastructure.\nWhat We Offer\nCompetitive base salary and meaningful equity package\nDirect partnership with the founders and a team where more than half are former founders.\nComprehensive health and dental benefits.\nA remote-first, flexible work environment.\nThe opportunity to help define a company creating a new category in capital markets.\nHow to Apply\nApply through Bookface and include:\nA link to your GitHub, publications, portfolio, or examples of your work.\nA short note about an AI system you've built that you're most proud of, including the problem you solved and your role in the outcome.\nA few sentences on why you're interested in Tilt.","description_format":"text","description_chars":6714,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Angel Networks & Startup Accelerators","Investing Apps & 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