Dataintellect

Dataintellect

Field Engineer. AI Solutions.

New York, NY, United States

Sponsorship not specifiedDetected 133 days ago
PythonJavaGraphQLRESTMachine LearningData EngineeringLLMsRAGAgentic AIProduct ManagementProduct StrategyCommunicationCollaboration

About the role

  • At Data Intellect it has never been just about data or technology, they are our tools.
  • It's about human intellect, collaboration and providing solutions for the most complex of challenges.
  • Our technology enables seamless integration, real-time automation, and AI-powered decision-making.

Responsibilities

  • Solution Build-Outs (Core Focus): Design and implement workflows, connectors, and APIs (REST/GraphQL) that scale.
  • Software Engineering (60%): Develop robust solutions using Python or Java, leveraging AI agents for code generation while reviewing and owning the final code.
  • Map system architecture, draw specifications, and design scalable workflows.
  • Client Engagement (10%): Lead technical workshops, communicate recommendations clearly, and maintain a consultative approach throughout delivery.
  • Data Expertise: Manage data pipelines and apply strong knowledge of data principles, including data warehousing and data lakes.
  • Architecture Thinking: Skilled at drawing system designs and workflows that scale.

Requirements

  • Ability to assess gaps, define outcomes, and recommend changes for evolving projects.

Nice to have

  • 5-10 years in software engineering and solution architecture for B2B platforms (data/AI/automation preferred).
  • Exposure to AI agents, LLM/RAG pipelines, and MLOps.
  • Fair employment and equal opportunities
  • Data Intellect is an equal opportunity employer.
  • We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • Accommodations are available on request throughout the assessment and selection process.

Skills

  • Proficiency in Python or Java.
  • Strong understanding of data principles (warehousing and data lakes).
  • Familiarity with APIs, event-driven patterns, and secure configuration management.
  • Consulting Mindset: Ability to assess gaps, define outcomes, and recommend changes for evolving projects.
  • Soft
  • Excellent communication, client-facing confidence, and ability to thrive in high-stakes delivery environments.
  • Nice-to-Have: Exposure to AI agents, LLM/RAG pipelines, and MLOps.
  • A little background on DI
  • Simply put - we turn big data problems into smart data solutions
  • At our core, Data Intellect is a data and technology consultancy firm.
  • Our key area of expertise is financial and capital markets technology solutions.
  • However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.
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