Data Engineer, AI Backend

🔥 14 hours ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ❄️ Minnesota – Remote

💵 $130k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Toppan Merrill

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Toppan Merrill is a leading provider of financial services solutions focusing on regulatory compliance, content management, and communication services for capital markets, corporate compliance, and health plans. The company offers advanced technology platforms such as Bridge for EDGAR and iXBRL filing, SEC Connect for managing a variety of form types, and SOX Automation for comprehensive SOX compliance management. With over 50 years of experience, Toppan Merrill helps clients streamline financial reporting, create compliant disclosures, and manage investor, shareholder, and member communications efficiently. Their solutions enable businesses to navigate the complexities of IPOs, mergers, acquisitions, and SPAC transactions while remaining compliant with SEC regulations. The company caters to industries affected by SEC regulatory changes, offering tools for both regulatory disclosure and marketing communications.

📋 Description

• Publish and own the AI backend’s API specification, starting with a working stub, then build and operate the production services behind it • Keep the API contract stable and communicate changes clearly to dependent teams • Build a document-context service that provides relevant context from the attorney’s document while respecting access permissions • Build ingestion, processing, and indexing pipelines for SEC filings from EDGAR to support peer-company analysis • Create a citation index connecting AI-generated answers to exact source sentences in underlying filings • Build services routing requests across multiple AI models with logging, monitoring, reliability controls, and usage and cost visibility • Develop and maintain pipelines producing evaluation data for data scientists to validate AI quality • Establish data-quality, observability, and operational standards for the AI backend • Own AI backend data services and pipelines from initial design through production operation • Collaborate with data scientists, the editor team, and platform engineers • Within the first 90 days, own the API specification and stub, stand up the document-context service in a test environment, and initiate SEC filing ingestion for an initial set of companies

🎯 Requirements

• 5+ years of professional data engineering or backend engineering experience in Python • Experience building and operating production data pipelines at scale using Databricks, Apache Spark, or a comparable platform • Experience building and operating production Python services (FastAPI or similar), including APIs other engineering teams depend on: publishing, versioning, and maintaining a stable contract • Experience working with text or document data, search, indexing, or information-retrieval systems • Strong data modeling, pipeline reliability, testing, and observability practices • A track record of delivering against firm milestones with cross-team dependencies • Preferred: Experience with retrieval-augmented generation (RAG) or vector/hybrid search in production • Preferred: Experience building citation, provenance, or source-traceability capabilities for search or AI-generated answers • Preferred: Experience with SEC filings, EDGAR, XBRL, or other complex financial and regulatory documents • Preferred: Experience with Azure data and AI services, including multi-model routing, usage monitoring, and cost controls • Preferred: Experience building evaluation datasets or pipelines for generative AI

🏖️ Benefits

• Enhanced Medical, Dental, Vision, and Life insurance for employees and dependents • Employer Contribution to 401(k) • Paid time off including vacation, sick, community involvement, bereavement, jury duty, and holidays • Paid parental leave • Paid community involvement/volunteer days • Wellness Resources and Employee Assistance Programming

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