Senior Data & AI Platform Engineer

Luxoft; Irvine (CA); On-site; USD 160,000 - 230,000; Full time

Job summary

Luxoft is seeking an experienced Data Engineer to design and enhance scalable data pipelines and AI-enabled platforms. You will work closely with stakeholders to translate business objectives into robust technical solutions.

The role focuses on data quality, reliability, and monitoring, leveraging Python backend services and modern data platforms. Strong collaboration across teams is essential for success.

Qualifications

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

Responsibilities

• Design, build, and enhance data pipelines and integration frameworks supporting AI and analytics.
• Improve data quality, reliability, lineage, and monitoring.
• Implement AI-first approaches and production-ready AI agents for solutions.
• Collaborate with business, product, and engineering to translate objectives into technical designs.

Skills

10+ years development

5+ years data engineering

Python backend

Data pipelines

Relational databases

Graph/Vector storage

AI/LLM in production

LangGraph/LangChain

AI tooling workflows

Agile delivery

Communication skills

Tools

Databricks

Spark

Delta Lake

AWS

ECS Fargate

Lambda

SQS

Terraform

AWS CDK

Job description

Luxoft is seeking an experienced Data Engineer to design and enhance scalable data pipelines and AI-enabled platforms. You will work closely with stakeholders to translate business objectives into robust technical solutions.

The role focuses on data quality, reliability, and monitoring, leveraging Python backend services and modern data platforms. Strong collaboration across teams is essential for success.