Senior AI Full Stack Engineer

We are seeking a highly skilled Senior AI Full Stack Engineer to design, build, and deploy production-grade AI-powered applications. The ideal candidate is an AI-native engineer with deep expertise in modern web development, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI frameworks, and cloud-native architectures.

This role requires ownership of the complete technology stack-from intuitive React/Next.js user interfaces to scalable FastAPI-based backend services and cloud-deployed AI solutions. You will collaborate with AI Architects, Product Managers, Data Scientists, and UX teams to deliver innovative AI-driven products across connected vehicles, infotainment systems, manufacturing intelligence, and enterprise applications., * Integrate and optimize LLMs including OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral, and similar foundation models.

• Build scalable Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding generation, semantic search, and vector database management.
• Develop agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or OpenAI Agents SDK.
• Implement prompt engineering, context management, tool-calling workflows, and structured output validation., * Build high-performance APIs and microservices using FastAPI, Python, Node.js, and event-driven architectures.
• Design distributed systems leveraging Kafka, Redis, asynchronous queues, and fault-tolerant processing patterns.
• Develop and maintain cloud-native applications on AWS, Azure, or Google Cloud Platform.
• Deploy containerized applications using Docker, Kubernetes, and Helm., * Build responsive, high-performance web applications using React, Next.js, TypeScript, and modern UI frameworks.
• Develop conversational AI interfaces with real-time streaming responses using WebSockets and Server-Sent Events (SSE).
• Create AI-assisted dashboards, multi-modal user experiences, and intelligent workflow applications., * Implement AI guardrails, hallucination mitigation, content filtering, PII protection, audit logging, and compliance controls.
• Establish monitoring and observability frameworks for AI systems, including latency tracking, token usage monitoring, model performance analysis, and quality evaluation.
• Utilize tools such as LangSmith, Arize, Helicone, Weights & Biases, OpenTelemetry, Prometheus, Grafana, and Datadog.

Engineering Excellence

• Participate in architecture reviews, code reviews, and technical design discussions.
• Implement automated testing strategies including unit, integration, performance, and AI evaluation testing.
• Build and maintain CI/CD pipelines supporting AI-enabled applications and zero-downtime deployments.
• Mentor engineering teams and promote best practices across software development and AI engineering.

• Bachelor’’s degree in Computer Science, Software Engineering, or a related technical discipline. Master’’s degree preferred.
• 10+ years of Full Stack Software Engineering experience
• Minimum 4+ years of hands-on experience building and deploying production AI/LLM-powered applications.
• Proven experience delivering AI products used by real customers at scale.

Front-End Expertise

• Expert-level experience with React.js and Next.js.
• Strong proficiency in TypeScript.
• Experience with SSR, SSG, App Router, and streaming architectures.
• Expertise in state management tools such as Redux Toolkit, Zustand, or Jotai.
• Strong understanding of modern CSS frameworks and UI component libraries.

Backend Expertise

• Strong Python development experience using FastAPI.
• Experience building scalable REST APIs and streaming services.
• Expertise in microservices architecture and distributed systems.

AI & Machine Learning Expertise

• Hands-on experience integrating OpenAI, Anthropic Claude, Gemini, Llama, Mistral, or similar LLMs.
• Deep understanding of RAG architectures and vector databases including Pinecone, Weaviate, Chroma, Qdrant, and pgvector.
• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or OpenAI Agents SDK.
• Strong prompt engineering and context engineering expertise.
• Experience implementing AI guardrails, hallucination prevention, and output validation.

Database & Infrastructure

• Strong experience with PostgreSQL, MongoDB, and Redis.
• Experience with Docker, Kubernetes, Helm, and cloud-native deployments.
• Experience working with AWS, Azure, or Google Cloud Platform.
• Familiarity with managed AI services such as AWS Bedrock, Azure OpenAI, or Vertex AI.

Observability & DevOps

• Experience with CI/CD pipelines and automated testing frameworks.
• Hands-on experience with AI observability tools including LangSmith, Arize, Helicone, or Weights & Biases.
• Familiarity with OpenTelemetry, Prometheus, Grafana, Datadog, and distributed tracing tools.

Preferred Experience

• Automotive industry experience, including Connected Vehicles, IVI (In-Vehicle Infotainment), Telematics, Manufacturing Intelligence, or Supply Chain Optimization.
• Experience building enterprise-scale AI applications supporting large user bases.
• Exposure to multimodal AI systems, autonomous agents, and AI-driven workflow automation.