Senior Data/AI engineer

Luxoft; Irvine (CA); On-site; USD 170,000 - 240,000; Full time

Job summary

Luxoft in Irvine, CA is seeking a Senior Data/AI Engineer to design and implement data pipelines, AI-first data products, and scalable backend services that enable researchers to access and consume data efficiently.

You will collaborate with stakeholders, product managers, and engineering teams to translate business objectives into robust data platforms, leveraging AI agents and modern data architectures.

Qualifications

• 10+ years of professional software development experience, including 5+ years in data engineering.
• Advanced proficiency in Python and building scalable backend services for data processing.
• Hands-on experience designing data pipelines, data integration solutions, and large-scale data processing architectures.

Responsibilities

• Design, build, and enhance data pipelines and integration frameworks supporting AI, analytics, and business applications.
• Improve data quality, reliability, lineage, and monitoring for dependable downstream use.
• Apply an AI-first approach using AI agents to design, build, test, and support solutions.
• Collaborate with business stakeholders, product managers, and engineering teams to translate business objectives into technical solutions.

Skills

Python

Data pipelines

AI/LLM

AI agents

Communication

Agile

LangGraph

LangChain

AWS

Scalable backend

Tools

LangGraph

LangChain

Databricks

Spark

Delta Lake

AWS CDK

Job description

Luxoft is seeking a Senior Data/AI Engineer in Irvine, CA (onsite). In this role, you will help build reusable data platform capabilities and data products that enable quantitative researchers to find, access, and consume data, while accelerating prototypes into production-ready solutions.

What you'll build

You will design and enhance data pipelines and integration frameworks with an AI-first approach. A key aspect of the work is using AI agents as a primary tool to design, build, test, and support solutions, while improving the overall data quality, reliability, lineage, and monitoring that teams depend on.

Responsibilities

• Design, build, and enhance data pipelines and integration frameworks supporting AI, analytics, and business applications.
• Improve data quality, reliability, lineage, and monitoring for dependable downstream use.
• Apply an AI-first approach by using AI agents as a primary tool to design, build, test, and support solutions.
• Collaborate with business stakeholders, product managers, and engineering teams to translate business objectives into technical solutions.

Requirements

• 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.
• 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 orchestration frameworks for AI applications, including evaluations.
• Familiarity with modern AI tooling and workflows, including AI-assisted software engineering practices.
• Experience operating in agile delivery environments.
• Strong communication skills and the ability to work efficiently 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 within Investment Management, Asset Management, Capital Markets, or Financial Services.
• Strong understanding of Fixed Income products and related investment workflows (significant domain expertise is highly valuable).
• Experience with Aurora, Neptune, and other AWS data services.
• Experience architecting, provisioning, and managing production infrastructure on AWS, including ECS Fargate, Lambda, SQS, and related cloud-native technologies.
• Experience defining cloud architecture programmatically using Infrastructure-as-Code tools such as AWS CDK or Terraform.

English: B2 Upper Intermediate. Seniority: Senior. Req.: VR-125222. Solution/Integration Architecture. BCM Industry. Availability date: 15/10/2026.