--- title: 'Frontend Engineer, Agents at Hebbia AI' canonical: 'https://feeny.ai/job/frontend-engineer-agents-hebbia-ai-new-york-pgzc856tg3yz' type: 'job' last_seen: '2026-10-16' --- # Frontend Engineer, Agents at Hebbia AI - **Company:** Hebbia AI - **Location:** New York, NY - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-05 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/hebbia-ai/038bddb3-c0dd-43e1-8863-17efdf9427db ## Job description Front-end Engineer, Agents ## About Hebbia The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. The Team Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. Our team works in person 5 days a week at our SoHo office in NYC. What we’ve built: - A [custom multi-agent framework](https://www.hebbia.com/blog/divide-and-conquer-hebbias-multi-agent-redesign) powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks. - The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG orchestrator capable of incorporating live graph mutations, cooperating in tandem with our[LLM throughput management capabilities.](https://www.hebbia.com/blog/maximizer-hebbias-distributed-system-for-high-scale-llm-request-scheduling) - Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems. - [Industry leading agents](https://www.hebbia.com/blog/goodbye-rag-how-hebbia-solved-information-retrieval-for-llms)solving problems from buy side company diligence to multi billion dollar M&A. ## The Role As a Front-End Engineer on Agents, you will not only own the interfaces bankers, investors, and lawyers use to work with Max and Matrix, but the user experience overall. You will be responsible for simple, delightful experiences for users to direct long-running agents, review citations, and iterate on key deliverables. You will turn new agentic capabilities from our research team into fast, polished interfaces on the web and on iOS. Engineers at Hebbia are given agency to own features end-to-end, so when a feature needs a new endpoint, streaming API, or Hebbia MCP tool, you will build it too. This role requires deep expertise in modern web front-end engineering (TypeScript, React), strong product sense, and comfort working in the backend when needed. iOS experience is highly valued: we are bringing Max and more to mobile, and you would help build it. You will work directly with applied researchers and infrastructure engineers, so you should be comfortable understanding the full system, from model call to UI. Our team works in person 5 days a week at our SoHo office in NYC. ## Responsibilities - Design and build the agent-facing UI for Hebbia: streaming agent output, real-time progress over long-running tasks, citation and provenance views, checkpoint and approval flows. - Own front-end architecture for data-dense, real-time surfaces — hundreds of companies × thousands of documents — with rendering performance and state management that hold up at that scale. - Contribute to making mobile, a high-value surface for finance professionals, an excellent surface to talk to Max on the go. - Build the backend surface those UIs depend on: streaming and real-time endpoints, agent state and session APIs, Hebbia MCP tools, and the glue to new data integrations. - Partner with applied researchers to get new agentic capabilities in front of users quickly, then iterate using insights from eval frameworks. - Own quality end to end: accessibility, telemetry, testing, performance budgets, and a design system that scales across web and mobile. ## Who You Are - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience - 4+ years building production front-ends at a venture-backed startup or top technology firm - Expert in TypeScript and React, with a deep understanding of rendering performance, state management, data fetching, and real-time patterns. - Comfortable across the stack — designing APIs, working with async services, and debugging the systems behind your UI - Strong product sense and design taste; comfortable working closely with designers and product managers. - Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc.) - Excellent problem-solving, communication, and teamwork abilities - Bonuses: - You've shipped native mobile apps and understand the App Store release cycle end to end - Experience building LLM- or agent-facing products ## Compensation The salary range for this role is $160,000 to $300,000, covering levels from junior to principal. Final leveling is determined through our assessment process, and exceptions to this range may be made for candidates with qualifications that fall outside our standard framework. Life @ Hebbia PTO: Unlimited Insurance: Medical + Dental + Vision + 401K Eats: Catered lunch daily + doordash dinner credit Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent Fertility benefits: $15k lifetime benefit New hire equity grant: competitive equity package with unmatched upside potential #LI-Onsite ## About Hebbia AI ## Company Overview - **One-liner**: Hebbia builds AI agents purpose-built for finance, law, and other high-stakes knowledge work, enabling complex task automation over vast document sets. - **Entity Type**: Private (Series B, $161.1M total funding) - **Headquarters**: New York, New York, United States - **Founded**: 2020 - **Founders**: George Sivulka ## Core Business - **Primary Industry**: Artificial Intelligence for Finance and Professional Services - **Target Customers**: B2B – investment banks, asset managers, hedge funds, Fortune 500 companies, law firms, and consulting firms - **Mission / Purpose**: Deliver “the AI you were promised” – useful, citation-backed AI that handles real finance workflows at institutional scale. ## Products & Services - **Hebbia Matrix**: Enterprise AI agent platform that interprets complex tasks, breaks them into sub-actions, and reasons over large corpora of documents (filings, research, internal docs, data feeds). Includes features like intelligent search, slide generation, spreadsheet creation, and automated workflow execution. Integrates with data providers (FactSet, S&P Capital IQ, PitchBook, etc.) and content stores (SharePoint, Box, Dropbox, AWS S3, email). Delivers citation-backed answers. ## Market Standing - **Valuation**: Not publicly disclosed (recent Series B at $130M suggests significant growth; some sources hint at $1.5B+ post-money but unconfirmed). - **Key Metrics**: - **Total Funding**: $161.1M (Pre-seed $1.1M led by Floodgate; Series A $30M led by Index Ventures; Series B $130M led by Andreessen Horowitz) - **AUM of Firms Using Hebbia**: $30 trillion - **Average Prompts Per Day**: 200,000 - **Tokens Processed by Investors**: 2 trillion+ - **Notable Investors / Partners**: Andreessen Horowitz, Peter Thiel, Index Ventures, Floodgate. Integrates with Snowflake, FactSet, S&P Capital IQ, Guidepoint, Third Bridge, and more. - **Growth Signals**: - Headcount grew 17.9% year-over-year to 124 employees (as of early 2026). - 41 open positions across engineering, GTM, AI strategy, and design. - Acquired FlashDocs in June 2025. - Used by over 40% of the largest asset managers by AUM and top investment banks. - Expanding internationally (offices in NYC, SF, London; remote roles in APAC and Middle East). ## Competitive Advantages - **First-mover advantage in LLM productionization**: One of the first companies to use LLMs in production (2020) and pioneer retrieval-augmented generation (RAG). - **Proprietary ISD architecture**: Matrix goes beyond chat – it runs complex, multi-step workflows defined by the client’s processes. - **Deep domain focus**: Employees include former bankers, investors, lawyers, and consultants who understand finance workflows intimately. - **Enterprise-grade security**: ISO/IEC 42001:2023, SOC 2 Type II, end-to-end encryption (AES-256, TLS 1.2+), no training on user data, GDPR, CCPA compliant. - **Network effects**: Every insight and workflow a firm encodes becomes institutional knowledge reused across the team, increasing switching costs. ## Strategic Focus - **Deepen finance vertical**: Continue replacing manual analyst workflows with AI agents for origination, screening, diligence, and reporting. - **Expand into law and consulting**: Already serving legal and consulting firms, with dedicated AI Strategist roles for corporate law. - **Scale agent collaboration**: Building “Agent Collaboration Platform” to let multiple agents work together on complex tasks. - **International growth**: Establishing sales presence in UK/Europe, APAC, and Middle East. ## Why Work Here - **Culture**: High ownership, hard problems, and cross-domain collaboration. Team includes ex-bankers, ex-McKinsey, ex-Google, ex-Microsoft, ex-Stripe. “The best work happens when the people doing it actually care.” - **Work Arrangement**: Hybrid model with offices in Downtown New York, San Francisco, and London; some fully remote roles available (APAC, Middle East, certain GTM roles). - **Perks**: - Startup equity - Competitive salary - Daily catered lunches - Flexible PTO - Comprehensive medical, dental, vision insurance - Fertility HRA - Parental leave - **Engineering Culture**: - Small, high-impact teams. - Focus on reliability, scalability, and pushing the limits of applied AI. - 34 technical staff (22% of company). - Active open-source? Not mentioned, but strong internal R&D. - **Growth Trajectory**: Rapidly scaling headcount (17% YoY), raising large rounds, and acquiring complementary tech – typical for a high-growth startup with significant market traction. ## Sources 1. [hebbia.com](https://www.hebbia.com/) 2. [hebbia.com/about](https://www.hebbia.com/about) 3. [hebbia.com/careers](https://www.hebbia.com/careers) 4. [LinkedIn/Heebia](https://www.linkedin.com/company/hebbia) 5. [PitchBook - Hebbia Profile](https://pitchbook.com/profiles/company/439260-40) ## Other roles at Hebbia AI - [AI Strategist](https://feeny.ai/job/ai-strategist-hebbia-ai-london-sksgvwj0h7k6) — London, United Kingdom - [Director, Business Operations](https://feeny.ai/job/director-business-operations-hebbia-ai-new-york-f9gc0t3c35fg) — New York, NY - [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-hebbia-ai-new-york-91a5m8skzdhp) — New York, NY - [AI Strategist, Corporate Law](https://feeny.ai/job/ai-strategist-corporate-law-hebbia-ai-new-york-frrkxcqjsbx3) — New York, NY - [Forward Deployed Investor (AI Strategist)](https://feeny.ai/job/forward-deployed-investor-ai-strategist-hebbia-ai-new-york-b5hnwcxzcjkx) — New York, NY - [Forward Deployed Banker (AI Strategist)](https://feeny.ai/job/forward-deployed-banker-ai-strategist-hebbia-ai-new-york-5rm6rzdk10vt) — New York, NY - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-hebbia-ai-new-york-dwpgd96kzfmh) — New York, NY - [Integrations Engineer](https://feeny.ai/job/integrations-engineer-hebbia-ai-new-york-rm67s36hdwt3) — New York, NY - [Client Partner](https://feeny.ai/job/client-partner-hebbia-ai-new-york-j8svsyb0evzf) — New York, NY - [Software Engineer, Site Reliability](https://feeny.ai/job/software-engineer-site-reliability-hebbia-ai-new-york-vsr7w349qyyp) — New York, NY