Data/AI engineer with Python

Overview

In this role you design and scale reusable data platform capabilities to help quantitative researchers access diverse data and move strong prototypes into production. You will shape data pipelines and integration frameworks that support AI, analytics, and business applications, while driving data quality, lineage, and monitoring. You’ll apply an AI-first approach to design, test, and support solutions and work closely with business and engineering stakeholders to translate objectives into robust technical outcomes. This position offers influence over architecture, tooling, and deployment at scale within a data-driven organization.

Responsibilities

• Design, build, and enhance data pipelines and integration frameworks for AI, analytics, and business apps
• Improve data quality, reliability, lineage, and monitoring
• Implement AI-first approaches with AI agents to design, build, test, and support solutions
• Collaborate with business stakeholders, product managers, and engineering to translate objectives into technical solutions

Key requirements

• 10+ years of professional software development experience, including 5+ years in data engineering
• Advanced Python proficiency for scalable backend services and data processing
• Strong experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures
• Experience with relational databases and modern data storage technologies (graph, vector, analytical platforms)
• Practical experience building and deploying AI/LLM-enabled applications in production
• Experience with LangGraph, LangChain, agentic workflows, or orchestration frameworks for AI applications
• Familiarity with modern AI tooling and AI-assisted software engineering practices
• Experience operating in agile delivery environments
• Strong communication skills for interaction with stakeholders

• communication
• stakeholder collaboration
• cross-functional teamwork
• Python backend services
• data pipelines and integration
• large-scale data processing

…