Senior AI & Cloud Software Engineer (LLM/Agentic)

Lincoln Motor Company

United States

On-site

USD 100,000 - 193,000

Full time

4 days ago
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Benefits offered by this job

Medical coverage
Tuition assistance
Vehicle discount

Job summary

Ford Motor Company’s Global Data Insight & Analytics team seeks a Full-Stack Software Engineer to advance cloud analytics. You’ll design, build, and deploy AI-enabled solutions, including LLM-driven apps and RAG pipelines, collaborating with product, design, and other engineers.

You will contribute to AI-assisted software engineering, translate business goals into technical outcomes, and support CI/CD, security, and reliability in a fast-paced Agile environment.

Qualifications

  • Bachelor’s degree in computer science or related field.
  • 4+ years of professional software engineering experience.
  • 3+ years with modern frontend frameworks (Angular, React, Vue).
  • 3+ years with backend frameworks (FastAPI, Flask, Django, Spring).
  • 2+ years Python and/or Java; experience with AI/LLM APIs.

Responsibilities

  • Architect, build, and deploy AI-powered analytic applications.
  • Develop retrieval-augmented generation pipelines and multi-agent systems.
  • Champion AI tools to streamline development, testing, and CI/CD.
  • Translate business goals into technical requirements and tests.
  • Design scalable, secure, and maintainable software architectures.
  • Support modern DevOps practices and IAM controls.

Skills

Frontend frameworks
Backend frameworks
Python/AI
Software Eng

Education

Bachelor's degree
Master's degree

Tools

LangChain
LlamaIndex
CrewAI
AutoGen
Semantic Kernel
PGVector

Job description

Ford Motor Company’s Global Data Insight & Analytics team seeks a Full-Stack Software Engineer to advance cloud analytics. You’ll design, build, and deploy AI-enabled solutions, including LLM-driven apps and RAG pipelines, collaborating with product, design, and other engineers.

You will contribute to AI-assisted software engineering, translate business goals into technical outcomes, and support CI/CD, security, and reliability in a fast-paced Agile environment.

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