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Hebbia Jobs in California (NOW HIRING)

Hebbia

Integrations Engineer

San Francisco, CA · On-site

$122K - $164K/yr

Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. The Integrations Engineer will own the full lifecycle of integrations that power Hebbia's AI, designing and ...

Hebbia

Software Engineer, Site Reliability

San Francisco, CA · On-site

$67.25 - $89.25/hr

Hebbia is an AI platform for investors and bankers that enhances investment decisions for major asset managers. They are seeking a Site Reliability Engineer who will be responsible for owning ...

Hebbia

Backend Engineer (Agents)

San Francisco, CA · On-site

$160 - $300/hr

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 ...

Hebbia

Backend Engineer, Agents

San Francisco, CA · On-site

Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. The Backend Engineer will leverage expertise in systems and software to build efficient solutions ...

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Hebbia information

What is a Hebbia?

Hebbia is a company specializing in artificial intelligence and machine learning, particularly focused on building advanced research and productivity tools for enterprises. Their platform leverages AI to help users search, analyze, and extract insights from large volumes of unstructured data such as documents, emails, and contracts. Hebbia's technology is often used by professionals in fields like finance, law, and corporate research to automate and enhance data-driven decision-making. The company is recognized for its innovative approach to handling complex, high-stakes information tasks efficiently and accurately.

What are the key skills and qualifications needed to thrive as a Hebbia AI Solutions Engineer?

To excel as a Hebbia AI Solutions Engineer, you need a strong background in software engineering, data analysis, and machine learning, typically supported by a degree in computer science or a related field. Experience with programming languages such as Python, frameworks like TensorFlow or PyTorch, and a familiarity with Hebbia’s platform and APIs are commonly required. Excellent problem-solving, communication, and project management skills help you collaborate with clients and cross-functional teams. These competencies are crucial to building effective AI solutions that address complex client needs and drive innovation in enterprise environments.

What are some common challenges faced by team members working at Hebbia, and how can new hires prepare to overcome them?

At Hebbia, team members often work on complex AI-powered search and automation solutions, which require balancing technical depth with rapid innovation. New hires may face challenges such as adapting to fast-paced project cycles, collaborating across multidisciplinary teams, and staying up-to-date with evolving technologies. To overcome these challenges, it's helpful to proactively seek feedback, engage in continuous learning, and communicate openly with colleagues. Embracing a growth mindset and being comfortable with ambiguity will help new team members excel and contribute effectively.

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Hebbia jobs near you
Infographic showing various Hebbia job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Hybrid job distribution.

Integrations Engineer

Hebbia

San Francisco, CA • On-site

$122K - $164K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. The Integrations Engineer will own the full lifecycle of integrations that power Hebbia’s AI, designing and deploying connectors, monitoring their behavior, and debugging failures in real time.
Responsibilities:
• Build connectors and ingestion pipelines that bring enterprise data into Hebbia's AI platform, from Snowflake warehouses and SharePoint libraries to live pricing feeds, high-velocity news data, and proprietary customer systems
• Design and operate pipelines that handle scale, failures, and edge cases gracefully
• Debug issues across APIs, auth systems, and data formats, often under real-time customer pressure
• Own reliability end-to-end: monitoring, alerting, on-call, and incident response
• Improve internal tooling and observability to make systems more robust and easier to operate
• Partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases
• Design and ship agents that sit on top of the ingestion layer, making enterprise data accessible and actionable across all of Hebbia's product surfaces — from document analysis to structured query workflows
Qualifications:
Required:
• 2–5 years of software engineering experience, ideally at a startup or high-growth technology company
• Strong proficiency in Python, with experience building backend services and APIs
• Direct experience building or maintaining integrations with third-party APIs—you understand OAuth flows, webhook patterns, rate limiting, pagination, and the ways APIs break in practice
• Comfortable with cloud infrastructure (AWS preferred) and tools like Kafka, PostgreSQL, Redis, or ElasticSearch
• Operational mindset: you take ownership of systems in production, not just in a PR. You are comfortable with on-call and treat reliability as a first-class concern
• Strong debugging instincts—you can trace a data issue from a customer report through logs, API responses, and queue state to root cause
• Clear communicator who can explain technical issues to non-technical stakeholders when a customer’s integration is down
• Autonomous and self-directed. This role has high ownership and low hand-holding
Preferred:
• Experience with enterprise data platforms (Snowflake, SharePoint, Salesforce) from the integration side
• Familiarity with document processing pipelines or content extraction systems
• Experience building agentic systems or LLM-enabled products
• Frequent user of AI tools in your development workflow (Cursor, Claude Code, etc.)
Company:
Hebbia is an artificial intelligence platform designed to assist investment banking, asset management, and corporate strategy teams. Founded in 2020, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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