Senior AI Full-Stack Engineer: Build Scalable AI Apps

Panasonic Automotive North America; The Colony (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

401K retirement savings

Annual bonus

Educational assistance

Relaxed dress code

PASATalks speaker summits

Mentorship programs

High5 rewards

Onsite happy hours

Job summary

Panasonic Automotive Systems Company of America is seeking a Senior AI Full Stack Engineer to design, build, and ship production-grade AI-powered applications for connected vehicle platforms and IVI systems. You will own frontend to backend, integrating LLM APIs, RAG pipelines, and multi-agent workflows at scale.

You’ll collaborate with AI architects, data scientists, and product teams to deliver AI-driven features across IVI, manufacturing intelligence, and enterprise tools, while upholding

Qualifications

• Proven track record delivering AI-powered products to real users at scale.
• Bachelor's degree or higher in CS or related field.
• 7+ years of full stack engineering experience with AI/LLM features.
• Strong React/Next.js (App Router, SSR, streaming) with TypeScript.

Responsibilities

• Design and build end-to-end AI-powered features across frontend and backend.
• Architect and implement LLM integration layers with multiple providers.
• Develop production-grade RAG pipelines and agentic workflows.
• Ensure observability, security, and performance for AI systems.

Skills

React/Next.js

TypeScript

LLM integration

RAG pipelines

Multi-agent systems

Prompt engineering

CI/CD

Observability

Cloud platforms

Kafka/Redis

Education

Bachelor's degree in CS

Master's degree a plus

Tools

FastAPI

Node.js

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

OpenAI API

LangChain

Weaviate/Pinecone

Job description

Panasonic Automotive Systems Company of America is seeking a Senior AI Full Stack Engineer to design, build, and ship production-grade AI-powered applications for connected vehicle platforms and IVI systems. You will own frontend to backend, integrating LLM APIs, RAG pipelines, and multi-agent workflows at scale.

You’ll collaborate with AI architects, data scientists, and product teams to deliver AI-driven features across IVI, manufacturing intelligence, and enterprise tools, while upholding