[Remote] Senior AI Full Stack Engineer

Note: The job is a remote job and is open to candidates in USA. Panasonic 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.ResponsibilitiesDesign 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 integrationsArchitect 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 inferenceBuild production-grade RAG (Retrieval-Augmented Generation) pipelines: document ingestion, chunking strategies, embedding generation, vector store management, and orchestrated retrieval for accurate, low-hallucination AI responsesDevelop multi-agent and agentic workflow systems using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen — designing agent memory, tool use, planning loops, and goal decompositionEngineer prompt engineering strategies, guardrails, and context management systems that optimize LLM output for latency, cost, and quality at scaleBuild and maintain scalable microservices and event-driven backend architectures (Kafka, Redis, async queues) to handle high-throughput AI workloads and long-running agent tasksDesign 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 interfacesEstablish observability and monitoring frameworks for AI production systems: model performance tracking, hallucination detection, token cost monitoring, latency profiling, and bias alertingImplement responsible AI controls at the application layer: input/output guardrails, content filtering, PII redaction, rate limiting, and audit logging for regulatory complianceIntegrate AI features into automotive-domain applications including connected vehicle dashboards, IVI systems, manufacturing quality intelligence platforms, and supply chain optimization toolsCollaborate with AI Architects to translate architecture blueprints into production code; provide engineering feedback that improves architectural decisionsChampion engineering excellence: code reviews, automated testing (unit, integration, AI evaluation), CI/CD pipelines, and documentation for AI-enabled featuresSkillsBachelor's degree in Computer Science, Software Engineering, or related technical field; Master's degree a plus7+ years of professional full stack engineering experience with at least 2+ years building and shipping production AI/LLM-integrated featuresProven track record delivering AI-powered products to real users at scale — prototypes do not countExpert-level proficiency in React and Next.js (App Router, SSR, SSG, streaming); TypeScript requiredExperience building real-time AI interfaces: streaming LLM responses via WebSocket or Server-Sent Events (SSE), conversational chat UIs, and multi-modal content displaysStrong command of modern CSS, state management (Zustand, Redux Toolkit, or Jotai), and UI component librariesStrong Python backend development using FastAPI (preferred) or equivalent; experience building async, high-throughput REST and streaming APIsSolid understanding of microservices design patterns: event-driven architecture, message queues (Kafka, Redis Pub/Sub, Celery/Taskiq), and fault-tolerant distributed systemsDatabase proficiency: PostgreSQL, MongoDB, and Redis for caching and session managementHands-on production experience integrating LLM APIs: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Meta Llama, or MistralDeep 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 SDKStrong prompt engineering and context engineering skills; experience designing multi-turn conversations, tool-calling workflows, and structured LLM output parsingExperience implementing LLM guardrails, hallucination mitigation, and output validation for production systemsStrong 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 deploymentsCI/CD pipelines for AI-enabled products: automated testing, model evaluation gates, and zero-downtime deploymentsAI observability tooling: LangSmith, Weights & Biases, Helicone, or Arize for LLM tracing, cost tracking, and quality monitoringGeneral observability: OpenTelemetry, Prometheus, Grafana, or Datadog for distributed tracing, metrics, and alertingBenefitsGreat Medical/Dental BenefitsCompany-Matched 401K Retirement SavingsAnnual Bonus ProgramEducational AssistanceRelaxed Dress CodePASATalks Speaker SummitsLeadership & Mentorship ProgramsHigh5 Reward Recognition ProgramOnsite Happy HoursAnd many more benefits & perks found within the ‘Our Culture’ section…Company OverviewAt Panasonic, our technology and engineering expertise delivers innovation across diverse industries. It was founded in 2022, and is headquartered in Peachtree City, Georgia, USA, with a workforce of 501-1000 employees. Its website is http://www.panasonic-automotive.com/careers.