Senior Data & AI Engineer

Remote • Posted 11 hours ago • Updated 11 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • data pipelines
  • AI services
  • Agentic AI

Summary

Senior Data & AI Engineer

Location: Remote (USA)
Employment Type: Contract (W2 Preferred)

Job Summary

We are seeking a Tech Lead (Data & AI) who can combine hands-on engineering with technical leadership across Data and AI initiatives. In this role, you'll lead engineering teams, define technical direction, review architecture and code, and work directly with clients to deliver scalable AI and data solutions.

Key Responsibilities

  • Lead the design and delivery of data pipelines, AI services, and agentic AI applications.

  • Provide technical leadership through architecture reviews, code reviews, and engineering best practices.

  • Translate business requirements into scalable technical solutions.

  • Ensure code quality, testing standards, and production readiness.

  • Collaborate with AI Architects and Data Architects on solution design.

  • Participate in client meetings, technical workshops, demos, and design discussions.

  • Identify and resolve technical debt, performance bottlenecks, and reliability issues.

  • Mentor junior and mid-level engineers through coaching and knowledge sharing.

Required Skills

  • 4–8 years of Software Engineering or Data Engineering experience.

  • 1–2+ years of Technical Lead or Senior Engineer experience.

  • Strong Python development skills with FastAPI, Async Programming, Testing, and Production Deployment.

  • Hands-on experience with LangChain, LangGraph, LLM Agents, and RAG architectures.

  • Strong knowledge of SQL, Data Modeling, ETL/Data Pipelines, and Cloud Data Platforms.

  • Experience with Git, CI/CD, Docker, and cloud platforms (AWS, Azure, or Google Cloud Platform).

  • Excellent communication skills with experience interacting directly with clients.

Preferred Skills

  • Snowflake or Databricks.

  • OpenTelemetry, Datadog, or similar observability tools.

  • LLM evaluation frameworks.

  • Experience in Financial Services, Healthcare, or other regulated industries.

  • AWS, Azure, Google Cloud Platform, or Snowflake certifications.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10204540
  • Position Id: 85530-2308-
  • Posted 11 hours ago
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