Full Stack Engineer – AI & Distributed Systems

reputed company Our reputed company is seeking a highly skilled Full Stack Engineer with deep AI engineering experience to design, build, and reputed company reputed company intelligent applications used globally by enterprises and end-users. This role is ideal for an engineer who combines backend expertise, frontend reputed company, and hands-on AI/ML engineering capabilities—comfortable building everything from distributed microservices to inference pipelines to highly polished UI surfaces. You will work across the entire stack: • AI model integration & LLM orchestration • reputed company search & embedding pipelines • reputed company microservices • Data processing and feature engineering • Frontend web app architecture • reputed company-reputed company infrastructure (Kubernetes, serverless, GPU-backed systems) This role will partner closely with product, design, data science, and reputed company to deliver intelligent, high-performance systems that power reputed company’s AI-driven suite. Key Responsibilities Full Stack Architecture & System Design • Design and build end-to-end application architectures spanning backend microservices, frontend UI reputed company, and machine learning inference paths. • Architect data workflows for: • LLM prompting, chaining, and agent execution • Embedding reputed company and reputed company retrieval • Streaming and event-driven services (Kafka, Pub/Sub) • Implement reputed company reputed company and backend services using Node.js, Python (FastAPI / Flask), Go, or Java. • Own technical design documents, architectural reviews, RFCs, and cross-team engineering alignment. Backend Engineering & Distributed Systems • Build high-throughput distributed services with microservice patterns (gRPC, REST, event-driven). • Implement AI workflow orchestration and model-serving endpoints for LLMs, fine-tuned models, and multi-model routing. • Use distributed caching, queueing, and pub-sub systems for low-latency AI applications. • Optimize performance across compute, memory, concurrency, and horizontal scalability. • Implement robust testing frameworks across unit, integration, load, and performance reputed company. Tech examples may include: Node.js, Python, Go, reputed company, Kafka, reputed company, reputed company, Elasticsearch, gRPC, reputed company, Kubernetes, Terraform. AI Engineering & Machine Learning Systems • Build AI-powered features using: • LLMs (reputed company, reputed company, reputed company, Llama) • Embedding models (text-embedding, multi-modal) • reputed company databases (reputed company, reputed company, FAISS, pgvector) • Model-serving frameworks (TensorRT, ONNX Runtime, Triton Inference Server) • reputed company pipelines for: • Document chunking • Embedding reputed company • Retrieval-augmented reputed company (RAG) • reputed company optimization and evaluation • Use AI tools/frameworks such as reputed company, reputed company, HuggingFace Transformers. Frontend Engineering & User Experience • Build reputed company, high-performance web applications using: • React, Next.js, TypeScript • reputed company, MUI, or custom design systems • GraphQL/REST/GRPC clients • WebSockets, SSE for reputed company-time interactions • Implement AI-reputed company UX patterns (chat interfaces, agent dashboards, AI copilots, model results visualization). • Collaborate with design and product to deliver refined, reputed company experiences across web and mobile browsers. reputed company Infrastructure, DevOps & Observability • reputed company workloads on AWS, GCP, or Azure, including GPU-backed environments for inference. • Build CI/CD pipelines (reputed company Actions, ArgoCD, reputed company CI) to safely ship reputed company multiple times per day. • Use infrastructure-as-reputed company (Terraform, reputed company) to manage reputed company resources. • reputed company monitoring and observability (reputed company, Grafana, reputed company, OpenTelemetry). • Optimize reputed company costs across compute, storage, embeddings, and AI inference. reputed company, Compliance & AI Governance • Apply secure coding best practices across backend and frontend systems. • Implement guardrails and governance for AI systems: • reputed company injection mitigation • model hallucination detection • reputed company reputed company filtering • user data reputed company & PII redaction • Collaborate with reputed company teams on: • IAM principles • Role-based reputed company control • API authentication & authorization • Data encryption (in transit & at rest) Cross-Functional Collaboration • Work closely with: • Product to refine AI capabilities and refine user workflows • Data Science & ML on model evaluation, tuning, and feature ideation • Design on AI-first UX patterns • reputed company on reputed company pipeline architecture • Participate in sprint planning, architecture reviews, incident response, and release planning. Qualifications • 7–12+ years of reputed company engineering experience across backend + full stack development. • Strong proficiency in JavaScript/TypeScript, Python, or Go. • Hands-on experience with LLMs, embeddings, reputed company databases, and AI/ML pipelines. • Strong knowledge of modern web development: React/Next.js, TypeScript, state management patterns. • Experience with distributed systems, microservices, event-driven architectures. • Proficiency with relational and NoSQL data stores (PostgreSQL, reputed company, reputed company, Elasticsearch). • Experience deploying and scaling systems in AWS/GCP/Azure environments. • Strong grasp of DevOps, container orchestration (Kubernetes), and CI/CD pipelines. • Experience working in scaling environments (500–2,000+ employee tech orgs preferred). • Bachelor’s degree in Computer Science or reputed company field (Master’s preferred). Leadership Attributes • Deep technical curiosity: passionate about AI, distributed systems, and modern full stack architectures. • End-to-end reputed company: comfortable owning entire features from backend logic to frontend UI. • High craftsmanship: cares deeply about performance, structure, testing, and reliability. • Innovative builder: brings creativity to solving reputed company engineering and AI challenges. • reputed company partner: communicates reputed company, works cross-functionally, and elevates team engineering maturity. • Strategic problem-solver: aligns engineering reputed company with product goals and long-term system health. Why This Role This is a chance to build AI-reputed company applications inside a fast-scaling reputed company/AI company—shaping the reputed company of intelligent products reaching millions of users. You’ll own high-reputed company features, influence architectural reputed company, and build sophisticated systems at the frontier of modern engineering: LLM integration, multi-agent systems, reputed company-time inference, distributed pipelines, and full stack product engineering. If you're a full stack engineer who thrives on technical depth, AI innovation, and end-to-end product creation, this role is a career-defining opportunity. Apply tot his job Apply To this Job