Sayari
Sayari
Sayari is a French environmental consultancy and research bureau that helps organizations bring scientific advances into practical sustainability decisions. Its work includes environmental data, life-cycle assessments, and strategies to measure and address product impacts, biodiversity, and water resilience. The team develops tailored studies, tools, and training for public-sector organizations, large companies, small and medium-sized businesses, and startups, helping them prepare for regulation and strengthen environmental performance. Sayari also contributes to national initiatives including AGRIBALYSE and environmental footprint committees.

Forward Deployed Engineer, Sayari (Remote US)

Embed Sayari’s AI-powered economic security and commercial risk platform with strategic US clients. Build Python, SQL, API, data pipeline, and AI/ML solutions tailored to their technical environments.

Description

  • Integrate Sayari’s platform into client technical environments and learn their workflows, systems, and mission needs.
  • Build and deliver production-ready Python applications, advanced SQL solutions, APIs, data pipelines, and AI/ML prototypes.
  • Lead strategic deployments from discovery and architecture through implementation and operational launch.
  • Guide clients as the technical lead, running workshops, troubleshooting complex systems, and advising on Sayari’s platform.
  • Turn unclear mission needs into scalable data models and workflows.
  • Create data pipelines into client storage platforms, including Snowflake and Databricks.
  • Connect clients with Sayari’s engineering teams, translating operational needs and feedback into scalable product capabilities.
  • Present project outcomes to executives, intelligence analysts, and mission leaders.

Requirements

  • At least five years of experience in a client-facing technical role.
  • Ability to write clean code suitable for production.
  • Strong programming skills, preferably in Python, and experience with data tools such as Pandas.
  • Advanced skill in writing and optimizing complex SQL queries.
  • Hands-on experience using, integrating, and working with REST APIs.
  • Strong communication and interpersonal abilities.
  • Excellent problem-solving skills and comfort handling ambiguous, complex situations.
  • Curiosity, drive, and readiness to learn unfamiliar technologies quickly.
  • A bachelor’s or master’s degree in a technical discipline is strongly preferred.
  • Practical experience using AI, such as prompting large language models or working with their APIs.
  • Experience building and deploying solutions on AWS, Google Cloud, or Azure.
  • Familiarity with Docker and Kubernetes.
  • Familiarity with Snowflake, Databricks, Airflow, or Prefect.
  • Knowledge of graph data platforms such as Neo4j or TigerGraph and their query languages.
  • Exposure to machine learning, particularly natural language processing or entity resolution.
  • Experience or demonstrated interest in anti-money laundering and financial crime, supply chain risk, or national security.
  • Willingness to travel up to 30%.

Benefits

  • Medical, vision, and dental coverage fully paid for employees and their dependents.
  • Time off includes US federal holidays, a winter break from December 24 to 31, 18 paid vacation days, and 10 sick days.
  • Commissions for revenue roles and bonuses for non-revenue positions.
  • Commitment to diversity, equity, and inclusion.
  • 401(k) matching up to 5%.
  • Life insurance fully paid, with coverage up to $100,000.
  • Parental leave.
  • Collaborative, positive workplace culture.
  • Opportunities for continued growth and learning.
  • Equity as part of the compensation package.

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