Backend Engineer, Agents
HebbiaNew York City; San Francisco, CA$160k – $300kPosted 5 March 2026
Job Description
<h2><span style="font-size: 14pt;"><strong>About Hebbia</strong></span></h2>
<p>The AI platform for investors and bankers that generates alpha and drives upside.</p>
<p>Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for <a href="https://www.blackrock.com/us/individual/about-us/about-blackrock?cid=ppc:blk_us:corpaffairs_us_br_reputationmediamanagement_na_exact_ol:google:brand_nonprod:olgclsrc=aw.dsgad_source=1gad_campaignid=21584717446gbraid=0AAAAACc6WDFbRb5bgB6zxVFLE_7yIy25Igclid=CjwKCAiA9aPKBhBhEiwAyz82J2uDlcIPVsy0fhSZMS_rp_OsGerYzYFPFfLo4TlN8K4eCHWzPfvysRoC7oQQAvD_BwE">BlackRock</a>, <a href="https://www.kkr.com/">KKR</a>, <a href="https://www.carlyle.com/">Carlyle</a>, <a href="https://www.centerviewpartners.com/">Centerview</a>, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.</p>
<p>We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.</p>
<p>Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.</p>
<h2><span style="font-size: 14pt;"><strong>The Team</strong></span></h2>
<p>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.</p>
<p>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. </p>
<p>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. </p>
<p><strong><span style="font-size: 12pt;">What we’ve built:</span> </strong></p>
<ol>
<li>A <a href="https://www.hebbia.com/blog/divide-and-conquer-hebbias-multi-agent-redesign">custom multi-agent framework</a> powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks.</li>
<li>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<a href="https://www.hebbia.com/blog/maximizer-hebbias-distributed-system-for-high-scale-llm-request-scheduling"> LLM throughput management capabilities.</a></li>
<li>Elastically scaling data representation and metadata generation → powering the most effective private data retrieval systems.</li>
<li><a href="https://www.hebbia.com/blog/goodbye-rag-how-hebbia-solved-information-retrieval-for-llms">Industry leading agents </a>solving problems from buy side company diligence to multi billion dollar MA.</li>
</ol>
<h2><span style="font-size: 14pt;"><strong>The Role</strong></span></h2>
<p>A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficie ... (truncated, view full listing at source)
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