Backend Engineer, Agents

About Hebbia: The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge—uncovering signals no human could see, surfacing hidden opportunities, and accelerating decisions with unmatched speed and conviction. Hebbia transforms how capital is deployed, how risk is managed, and how value is created across markets.

The Team

Hebbia enables leading finance and legal firms with advanced reasoning, copiloting, and retrieval capabilities—unlocking meaningful insights for high-impact use cases. The Agents team builds core document understanding capabilities, copiloting experiences for Matrix, and deep, multi-source research systems. We’ve developed our own agentic frameworks powered by distributed systems built for scale, prioritizing steerable, reliable, and explainable systems that handle the vast data our customers bring.

Our goal is to unlock the "unknowable unknown" for customers worldwide, building a product that becomes indispensable and as delightful as a favorite consumer tool. We move fast and build first-of-their-kind systems.

What We’ve Built

• A custom multi-agent framework powering deep research capabilities and 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 live graph mutations and throughput management.
• Elastically scaling data representation and metadata generation, enabling the most effective private data retrieval systems.
• Industry-leading agents solving problems from buy-side company diligence to multi-billion-dollar M&A.

About the Role

A backend engineer at Hebbia blends expertise in systems, application-layer software, and data modeling to build highly efficient solutions. You’ll leverage the latest software and agentic technologies, integrating product experience with powerful distributed systems to protect Hebbia’s technical edge through elegant design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented.

Responsibilities

• Own critical system components: Translate complex requirements into robust, scaled solutions that address real customer needs.
• Unlock O(1) universal indexing: Build and iterate on our high-scale document system to enable constant-time latency for indexing any content, regardless of volume.
• Drive performance optimization: Architect and implement solutions to ensure systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
• Mentor and guide: Provide technical leadership and mentorship to junior engineers, fostering a culture of learning and growth.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Strong academic background in data structures, algorithms, and software development is preferred.
• 5+ years of software development experience at a venture-backed startup or top technology firm, with a focus on backend engineering.
• Proficiency in building backend and API systems using Python, Java, or Go.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Ability to analyze complex problems, propose innovative solutions, and communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience leading software projects and collaborating with cross-functional teams.
• Strong interpersonal and communication skills to foster a collaborative work environment.
• Enthusiasm for continuous learning and professional growth, with a passion for exploring new technologies and methodologies.
• Embraces rapid prototyping with an emphasis on user feedback.
• Autonomous and excited about taking ownership of major initiatives.

Nice to Have

• Experience building agentic systems or LLM-enabled products.
• Frequent user of AI products, especially during development (e.g., Cursor, Claude Code).

Pay

The salary range for this role is $160,000 to $350,000. This range may include multiple career levels and will be narrowed during the interview process based on experience and qualifications. Adjustments outside this range may be considered for candidates with significantly differing qualifications.

Benefits

• Unlimited PTO.
• Medical, dental, and vision insurance.
• 401K retirement plan.
• Catered lunch daily, plus DoorDash dinner credit for late nights.
• Parental leave: 3 months for non-birthing parents, 4 months for birthing parents.
• Fertility benefits: $15,000 lifetime benefit.
• Competitive new-hire equity grant with unmatched upside potential.