{bc}
Apply
company_site

Data/AI engineer with Python

Luxoft
Los Angeles, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 4 days ago
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.

Full Job Posting

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.
  • 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.

Qualifications

  • 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.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Luxoft

Semantic AI/ML Engineer

Noida, IND

Discovered TodayFull-time

Semantic AI/ML Engineer

Hyderabad, IND

Discovered TodayFull-time

Functional CRM Analyst

Abu Dhabi, UAE

Discovered TodayFull-time

Enterprise CRM Architect (Engagement Lead)

Abu Dhabi, UAE

Discovered TodayFull-time

Technical CRM Analyst

Abu Dhabi, UAE

Discovered TodayFull-time

Murex Market Risk Consultant

Pune, IND

Discovered TodayFull-time

Murex Market Risk Consultant

Gurugram, IND

Discovered TodayFull-time

Murex Market Risk Consultant

Bengaluru, IND

Discovered TodayFull-time