Panasonic Automotive North America · 3 weeks ago
Senior AI Full Stack Engineer
United States
Full-time
Remote
Senior Level
7+ years expPanasonic Automotive North America is an industry-leading global supplier to Automotive Original Equipment Manufacturers, focusing on innovation in infotainment systems and connected car solutions. They are seeking a Senior AI Full Stack Engineer to design and build AI-powered applications, collaborating with various teams to deliver features across connected vehicle platforms and internal tools.
AutomotiveTransportation
No H1B
Responsibilities
Design and build end-to-end AI-powered product features — owning the full stack from React/Next.js UI through FastAPI/Node.js backend services to cloud infrastructure and LLM integrations
Architect and implement LLM integration layers: connecting to OpenAI, Anthropic Claude, Google Gemini, Meta Llama, or other foundation models via APIs, fine-tuned endpoints, or on-device inference
Build production-grade RAG (Retrieval-Augmented Generation) pipelines: document ingestion, chunking strategies, embedding generation, vector store management, and orchestrated retrieval for accurate, low-hallucination AI responses
Develop multi-agent and agentic workflow systems using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen — designing agent memory, tool use, planning loops, and goal decomposition
Engineer prompt engineering strategies, guardrails, and context management systems that optimize LLM output for latency, cost, and quality at scale
Build and maintain scalable microservices and event-driven backend architectures (Kafka, Redis, async queues) to handle high-throughput AI workloads and long-running agent tasks
Design responsive, performant front-end experiences that elegantly surface AI capabilities — including real-time streaming responses (WebSocket/SSE), conversational UIs, AI-assisted dashboards, and multi-modal interfaces
Establish observability and monitoring frameworks for AI production systems: model performance tracking, hallucination detection, token cost monitoring, latency profiling, and bias alerting
Implement responsible AI controls at the application layer: input/output guardrails, content filtering, PII redaction, rate limiting, and audit logging for regulatory compliance
Integrate AI features into automotive-domain applications including connected vehicle dashboards, IVI systems, manufacturing quality intelligence platforms, and supply chain optimization tools
Collaborate with AI Architects to translate architecture blueprints into production code; provide engineering feedback that improves architectural decisions
Champion engineering excellence: code reviews, automated testing (unit, integration, AI evaluation), CI/CD pipelines, and documentation for AI-enabled features
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, or related technical field; Master's degree a plus
7+ years of professional full stack engineering experience with at least 2+ years building and shipping production AI/LLM-integrated features
Proven track record delivering AI-powered products to real users at scale — prototypes do not count
Expert-level proficiency in React and Next.js (App Router, SSR, SSG, streaming); TypeScript required
Experience building real-time AI interfaces: streaming LLM responses via WebSocket or Server-Sent Events (SSE), conversational chat UIs, and multi-modal content displays
Strong command of modern CSS, state management (Zustand, Redux Toolkit, or Jotai), and UI component libraries
Strong Python backend development using FastAPI (preferred) or equivalent; experience building async, high-throughput REST and streaming APIs
Solid understanding of microservices design patterns: event-driven architecture, message queues (Kafka, Redis Pub/Sub, Celery/Taskiq), and fault-tolerant distributed systems
Database proficiency: PostgreSQL, MongoDB, and Redis for caching and session management
Hands-on production experience integrating LLM APIs: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Meta Llama, or Mistral
Deep expertise in RAG architecture: document processing, embedding models, chunking strategies, semantic search, vector databases (Pinecone, Weaviate, Chroma, pgvector, Qdrant)
Experience with agentic AI frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK
Strong prompt engineering and context engineering skills; experience designing multi-turn conversations, tool-calling workflows, and structured LLM output parsing
Experience implementing LLM guardrails, hallucination mitigation, and output validation for production systems
Strong experience with at least one major cloud platform: AWS, Azure, or GCP; familiarity with managed AI/ML services (AWS Bedrock, Azure OpenAI Service, Vertex AI)
Containerization and orchestration: Docker and Kubernetes; experience with Helm charts and cloud-native deployments
CI/CD pipelines for AI-enabled products: automated testing, model evaluation gates, and zero-downtime deployments
AI observability tooling: LangSmith, Weights & Biases, Helicone, or Arize for LLM tracing, cost tracking, and quality monitoring
General observability: OpenTelemetry, Prometheus, Grafana, or Datadog for distributed tracing, metrics, and alerting
Benefits
Great Medical/Dental Benefits
Company-Matched 401K Retirement Savings
Annual Bonus Program
Educational Assistance
Relaxed Dress Code
PASATalks Speaker Summits
Leadership & Mentorship Programs
High5 Reward Recognition Program
Onsite Happy Hours
And many more benefits & perks found within the ‘Our Culture’ section…
Company
Panasonic Automotive North America
At Panasonic, our technology and engineering expertise delivers innovation across diverse industries.
Founded in 2022Peachtree City, Georgia, USA
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Andrew Poliak
Chief Technology Officer
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