Sr AI Engineer (Full-Stack)

We’re Hiring: Sr AI Engineer (Full-Stack)

Location: India (Bengaluru / Remote – India)

Job Type: Full-Time

Department: Engineering

Experience: 8+ years

We are seeking a highly skilled AI Engineer (Full-Stack) who can build and deploy advanced AI systems while also contributing to scalable product development using Node.js and React.js.

This role requires a strong combination of modern AI engineering expertise and full-stack development capabilities to deliver production-ready, intelligent applications.

⚠️ Mandatory Requirement: Strong hands-on experience in Node.js and React.js along with proven AI/ML implementation experience.

💡 About the Role

You will design, build, and deploy AI-powered applications end-to-end — from model integration and backend architecture to frontend product experiences. The role involves working with cutting-edge LLM ecosystems and building scalable AI-driven platforms used in real-world production environments.

🛠 Key Responsibilities

• Design, develop, and deploy AI-powered applications using modern LLMs and AI platforms
• Integrate models such as GPT-4o, Llama 3.1, Claude 3.5 Sonnet, Gemini 1.5 Pro, and similar systems
• Build context-aware AI applications using LangChain, RAG pipelines, and Mixture of Agents architectures
• Develop scalable backend services using Node.js
• Build responsive and production-grade frontend interfaces using React.js
• Implement multi-modal and intelligent workflows for reasoning and automation
• Optimize AI model performance, latency, and scalability using tools like Groq
• Collaborate with product, engineering, and data teams across the AI lifecycle
• Build and maintain AI infrastructure, tooling, and deployment workflows
• Monitor, evaluate, and continuously improve AI system performance

✅ Candidates must have strong hands-on experience with:

Full-Stack Development (Mandatory)

• Node.js (API design, backend architecture, integrations)
• React.js (production UI development)
• REST APIs and scalable web application architecture

AI / Machine Learning

• Python & PyTorch
• Hugging Face ecosystem
• Retrieval-Augmented Generation (RAG)
• LangChain and agent-based architectures
• OpenAI GPT-4o / 4o mini
• Google Gemini models
• Llama 3.1, Anthropic Claude 3.5 Sonnet, Cohere
• AI model deployment and production integration

Infrastructure & Optimization

• Performance tuning and scalable deployments
• AI monitoring and evaluation
• Cloud AI platforms and modern deployment workflows

⭐ Preferred / Nice to Have

• Experience with Fireworks AI or similar inference platforms
• Serverless or distributed AI systems
• Multi-agent orchestration systems
• Experience building AI-first products or platforms
• Startup or high-growth product environment experience

🎯 What Success Looks Like

• Production-ready AI features deployed end-to-end
• Scalable full-stack architecture powering AI workflows
• High-performance AI applications with optimized latency
• Reliable monitoring and deployment pipelines

📩 How to Apply

Apply via LinkedIn or share your resume at: [email protected]

Please include:

• Brief introduction
• GitHub / portfolio / live projects (AI + Full-Stack work)
• Current role
• Notice period
• Current & Expected CTC