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Sayari

Counterparty and supply chain risk intelligence

Forward Deployed Engineer 2

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$160k - $180k

About the Job

Requirements

  • At least 5 years in a client-facing technical role such as forward deployed engineering, sales engineering, or technical consulting.
  • At least 7–8 years of total experience working in software engineering and/or solutions consulting.
  • A record of owning strategic deployments end to end, from technical win to production.
  • Production experience with Python, including Pandas, deep experience with SQL, and hands-on experience integrating and reasoning about REST APIs.
  • Experience building and deploying on AWS, GCP, or Azure using Docker and Kubernetes.
  • Experience across multiple technology stacks, coding languages, frameworks, and systems.
  • Daily use of AI-assisted coding tools such as Cursor or Claude.
  • A Bachelor's or Master's degree in a technical field.

Responsibilities

  • Design and run demos, proofs of concept, and trials using customer data; define success criteria with customers and achieve them.
  • Build agents, tools, and integrations on Sayari’s agentic platform within customer environments, taking them from trial to production.
  • Deliver production Python, SQL, and integrations into customer persistence layers and analytics stacks.
  • Serve as the primary technical authority for accounts and brief executives, analysts, and mission owners on outcomes.
  • Determine which solutions are bespoke, reusable, or appropriate for the platform; document capability gaps and drive them into the roadmap.
  • Set delivery standards and review other engineers’ work on assigned accounts.

Desired Qualifications

  • Hands-on experience building agentic or LLM systems, including orchestration, tool use, retrieval, and evaluation.
  • Experience with sovereign, air-gapped, or government cloud deployments.
  • Experience with Snowflake, Databricks, Airflow, or Prefect.
  • Experience with graph data technologies and their query languages.
  • Exposure to machine learning, natural language processing, or entity resolution.
  • Experience in high-stakes domains such as anti-money laundering and financial crime, supply chain risk, or national security.

About the Company

Sayari

Counterparty and supply chain risk intelligence

Sayari provides risk intelligence for counterparty and supply chain risk. It helps businesses and analysts understand and monitor the relationships between corporate entities and their stakeholders, such as shareholders, subsidiaries, customers, and suppliers. The product works by integrating trade data from 65 reporting countries with global corporate ownership data to create a unified view of cross-border networks. Through a subscription platform, users can perform batch supplier screening, risk identification, and generate detailed reports to support regulatory, ESG, and compliance decisions. Sayari differentiates itself by offering a comprehensive, globally sourced data integration that reveals hidden risks in supply chains and corporate networks, enabling more complete risk assessments than with fragmented data. The company's goal is to promote transparency and reduce risk in global commerce by helping clients identify regulatory, reputational, and business continuity risks.

Company size
201-500
Company stage
Debt Financing
Total funding
$134.7M
Headquarters
Washington DC, District of Columbia
Founded
2015

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