We're seeking a Full-Stack AI Engineer to build and enhance our next-generation enterprise SaaS applications that leverage advanced generative AI and large language models. You'll work at the intersection of modern enterprise SaaS and cutting-edge AI, creating seamless, intelligent solutions that transform financial back-office operation

FullStack AI Engineer | 6-12 Years| Hyderabad (WFO) | Quick Joiner | AI SaaS Product |

KRA :

- Design and develop full-stack applications that integrate LLMs and generative AI capabilities into our core product offerings

- Architect and implement scalable frontend solutions using React.js that provide intuitive interfaces for AI-powered features (low code platforms)

- Build robust backend services using Python and Node.js (Typescript) that handle complex AI model interactions and data processing

- Create and optimize APIs for efficient communication between frontend applications and AI services

- Interact with SQL and NoSQL data infrastructure components to ensure efficient data access, retrieval, and augmentation for AI applications

- Collaborate with ML engineers to integrate and optimize AI model deployments

- Implement and maintain CI/CD pipelines for both traditional and AI-enabled components (Kubernetes and GPU resources)

- Ensure high performance and reliability of AI-integrated features across the application stack

- Partner with product and business teams to understand requirements and deliver innovative solutions

Required Qualifications :

- 4+ years of professional experience in full-stack development with React.js and Node.js

- Hands-on experience building applications that integrate with LLMs (like GPT models) or other generative AI solutions

- Strong understanding of REST APIs and microservices architecture

- Proficiency in modern Python, JavaScript/TypeScript, and associated tooling and ecosystem

- Experience with AWS cloud services, particularly in deploying and scaling AI/ML workloads

- Solid foundation in system design, data modeling, and RDBMS

- Understanding of AI/ML concepts, particularly in NLP and generative AI applications

- Experience with multi-tenant SaaS architectures and enterprise system integrations

Technical Stack Required :

- Frontend : React.js/Next.js, TypeScript, Modern CSS frameworks, State management (Redux, Context API), Component design and optimization

- Backend : Node.js (Typescript), RESTful API design, Database design (SQL and NoSQL), Message queues and event streaming, Authentication and authorization

- AI/ML Integration : LLM APIs and SDK integration, Vector databases, Prompt engineering, Performance optimization for AI services

- DevOps : AWS cloud services, Azure AI services, Docker/Kubernetes, CI/CD pipelines, Monitoring and logging, Security best practices