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Senior Data & AI Engineer | Scalable Pipelines & AI-First
Luxoft
5 hours ago
Full-time
On-site
Los Angeles, California, United States
Project description
Build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production.
Responsibilities
- Design, build, and enhance data pipelines and integration frameworks supporting AI, analytics, and business applications.- Improve data quality, reliability, lineage, and monitoring.- Implement AI first approach: use AI agents as a primary tool to design, build, test, and support solutions- Collaborate closely with business stakeholders, product managers, and engineering teams to translate business objectives into technical solutions.
SKILLS Must have - 10+ years of professional software development, including 5+ years of data engineering experience.- Advanced proficiency in Python, including experience building scalable backend services and data processing solutions.- Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures- Experience working 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 orchestration frameworks for AI applications; evaluations.- Familiarity with modern AI tooling and workflows, including and AI-assisted software engineering practices.- Experience operating in agile delivery environments.- Strong communication skills and ability to interact efficiently with various stakeholder groups including business users.
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 within Investment Management, Asset Management, Capital Markets, or Financial Services.- Strong understanding of Fixed Income products and related investment workflows. Candidates with significant Fixed Income domain expertise will be considered highly valuable.- Experience with Aurora, Neptune, and other AWS data services.Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures.- Experience architecting, provisioning, and managing production infrastructure on AWS, including services such as ECS Fargate, Lambda, SQS, and related cloud-native technologies.- Experience defining cloud architecture programmatically using Infrastructure-as-Code (IaC) tools such as AWS CDK or Terraform.
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SKILLS Must have - 10+ years of professional software development, including 5+ years of data engineering experience.- Advanced proficiency in Python, including experience building scalable backend services and data processing solutions.- Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures- Experience working 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 orchestration frameworks for AI applications; evaluations.- Familiarity with modern AI tooling and workflows, including and AI-assisted software engineering practices.- Experience operating in agile delivery environments.- Strong communication skills and ability to interact efficiently with various stakeholder groups including business users.
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 within Investment Management, Asset Management, Capital Markets, or Financial Services.- Strong understanding of Fixed Income products and related investment workflows. Candidates with significant Fixed Income domain expertise will be considered highly valuable.- Experience with Aurora, Neptune, and other AWS data services.Strong hands-on experience designing and implementing data pipelines, data integration solutions, and large-scale data processing architectures.- Experience architecting, provisioning, and managing production infrastructure on AWS, including services such as ECS Fargate, Lambda, SQS, and related cloud-native technologies.- Experience defining cloud architecture programmatically using Infrastructure-as-Code (IaC) tools such as AWS CDK or Terraform.
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