Senior Data/AI engineer
Job Description
Build reusable data platform capabilities and AI-first data products that help quantitative researchers discover, access, and consume data while accelerating prototypes to production.
Responsibilities
- Design, build, and enhance data pipelines and integration frameworks for AI, analytics, and business applications.
- Strengthen data quality, reliability, lineage, and monitoring across the data lifecycle.
- Apply an AI-first approach where AI agents are used as primary tools to design, build, test, and support solutions.
- Partner with business stakeholders, product managers, and engineering teams to convert business objectives into technical implementation plans.
Requirements
- 10+ years of professional software development, including 5+ years in data engineering.
- Advanced proficiency in Python, including experience creating scalable backend services and data processing solutions.
- Hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures.
- Experience with relational databases and modern data storage technologies, including graph, vector, or analytical data platforms.
- Practical experience building and deploying AI/LLM-enabled applications in production environments.
- Experience with LangGraph, LangChain, agentic workflows, or AI orchestration frameworks, including evaluations.
- Familiarity with modern AI tooling and workflows, including AI-assisted software engineering practices.
- Ability to operate in agile delivery environments.
- Strong communication skills and ability to work effectively with multiple stakeholder groups, including business users.
Technologies
- Python
- LangGraph, LangChain
- AI agents
- AI/LLM-enabled applications
- Relational databases
- Graph, Vector, Analytical data platforms
Nice to Have
- Experience with Databricks, Spark, Delta Lake, or similar modern data engineering platforms.
- Experience designing enterprise data lakes, lakehouses, or large-scale analytical platforms.
- Domain experience in Investment Management, Asset Management, Capital Markets, or Financial Services.
- Strong understanding of Fixed Income products and related investment workflows (significant Fixed Income domain expertise is highly valuable).
- Experience with Aurora, Neptune, and other AWS data services.
- Hands-on experience architecting and implementing data pipelines and large-scale data processing architectures.
- Experience architecting, provisioning, and managing production infrastructure on AWS, including ECS Fargate, Lambda, SQS, and other cloud-native technologies.
- Experience defining cloud architecture programmatically using IaC tools such as AWS CDK or Terraform.
- Location: Irvine, CA, United States (onsite)
- Minimum experience: 5 years
- English: B2 Upper Intermediate
- Level: Senior
- Req.: VR-125222
- Role area: Solution/Integration Architecture
- Industry: BCM Industry
- Date: 15/10/2026