[Remote] Senior AI Full Stack Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company develops technology and engineering solutions for automotive experiences, including infotainment and connected vehicle systems. The Senior AI Full Stack Engineer will design, build, and ship production-grade AI-powered applications across the full stack, integrating LLMs, RAG pipelines, reputed company systems, reputed company interfaces, backend services, and reputed company infrastructure. The role supports AI-driven features for connected vehicles, in-vehicle infotainment, manufacturing intelligence, and reputed company tools.

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 reputed company infrastructure and LLM integrations
• Architect and implement LLM integration reputed company: connecting to reputed company, reputed company Claude, reputed company reputed company, reputed company Llama, or other reputed company models reputed company reputed company, fine-tuned endpoints, or on-device inference
• Build production-grade RAG (Retrieval-Augmented reputed company) pipelines: document ingestion, chunking strategies, embedding reputed company, reputed company store management, and orchestrated retrieval for accurate, low-hallucination AI responses
• reputed company multi-agent and reputed company workflow systems using frameworks such as reputed company, LangGraph, reputed company, or AutoGen — designing agent memory, tool use, planning reputed company, and goal decomposition
• Engineer reputed company engineering strategies, guardrails, and context management systems that optimize LLM reputed company for latency, cost, and reputed company at reputed company
• Build and maintain reputed company microservices and event-driven backend architectures (Kafka, reputed company, async queues) to handle high-throughput AI workloads and long-running agent tasks
• Design reputed company, reputed company reputed company-end experiences that elegantly surface AI capabilities — including reputed company-time streaming responses (WebSocket/SSE), conversational UIs, AI-assisted dashboards, and multi-modal interfaces
• Establish observability and monitoring frameworks for AI production systems: model reputed company tracking, hallucination detection, reputed company cost monitoring, latency profiling, and bias alerting
• Implement responsible AI controls at the application reputed company: input/reputed company guardrails, content filtering, PII redaction, reputed company limiting, and audit logging for regulatory compliance
• reputed company AI features into automotive-domain applications including connected vehicle dashboards, IVI systems, manufacturing reputed company intelligence platforms, and supply chain optimization tools
• Collaborate with AI Architects to translate architecture blueprints into production reputed company; reputed company engineering feedback that improves architectural reputed company
• Champion engineering reputed company: reputed company reviews, automated testing (unit, integration, AI evaluation), CI/CD pipelines, and documentation for AI-enabled features

Skills

• 7+ years of reputed company full stack engineering experience with at least 2+ years building and shipping production AI/LLM-integrated features
• reputed company reputed company record delivering AI-powered products to reputed company users at reputed company — prototypes do not count
• Expert-level proficiency in React and Next.js (App Router, SSR, SSG, streaming); TypeScript required
• Experience building reputed company-time AI interfaces: streaming LLM responses reputed company WebSocket or
• Server-reputed company Events (SSE), conversational chat UIs, and multi-modal content displays
• Trong reputed company of modern CSS, state management (Zustand, Redux Toolkit, or Jotai), and UI component libraries
• Solid understanding of microservices design patterns: event-driven architecture, message queues (Kafka, reputed company Pub/Sub, Celery/Taskiq), and fault-tolerant reputed company systems
• Database proficiency: PostgreSQL, reputed company, and reputed company for caching and session management
• Hands-on production experience integrating LLM reputed company: reputed company GPT-4o, reputed company Claude, reputed company reputed company, reputed company Llama, or reputed company
• Deep expertise in RAG architecture: document processing, embedding models, chunking strategies, semantic reputed company, reputed company databases (reputed company, reputed company, Chroma, pgvector, reputed company)
• Experience with reputed company AI frameworks: reputed company, LangGraph, reputed company, reputed company, AutoGen, or reputed company Agents SDK
• Strong reputed company engineering and context engineering skills; experience designing multi-turn conversations, tool-calling workflows, and reputed company LLM reputed company parsing
• Experience implementing LLM guardrails, hallucination mitigation, and reputed company validation for production systems
• Strong experience with at least one major reputed company platform: AWS, Azure, or GCP; familiarity with managed AI/ML services (AWS Bedrock, Azure reputed company Service, reputed company AI)
• Containerization and orchestration: reputed company and reputed company; experience with reputed company charts and reputed company-reputed company deployments
• CI/CD pipelines for AI-enabled products: automated testing, model evaluation gates, and reputed company-downtime deployments
• AI observability tooling: LangSmith, reputed company, Helicone, or Arize for LLM tracing, cost tracking, and reputed company monitoring
• General observability: OpenTelemetry, reputed company, Grafana, or reputed company for reputed company tracing, metrics, and alerting
• reputed company candidates must have reputed company authorization to work in the U.S
• Bachelor's degree in Computer Science, Software Engineering, or reputed company technical reputed company; Master's degree a plus
• Strong Python backend development using FastAPI (preferred) or equivalent; experience building async, high-throughput REST and streaming reputed company

Benefits

• Great Medical/Dental Benefits
• Company-Matched 401K Retirement Savings
• Annual Bonus Program
• Educational Assistance
• Relaxed Dress reputed company
• PASATalks Speaker Summits
• Leadership & Mentorship Programs
• High5 Reward Recognition Program
• Onsite Happy Hours

reputed company