Ai fullstack engineer

Experience - 5-6 years

Location - Bengaluru

React | Node.js / Java / Python | Microservices | AI Integration | Cloud | Hands-on Coding

About the Role

We are seeking a highly skilled Full Stack Engineer with 5–6 years of experience in designing, developing, and deploying scalable web applications. The ideal candidate has strong expertise in React, at least one modern backend framework, hands-on experience with microservices architecture, and has worked on AI-integrated products or features (LLM apps, ML-driven systems, automation workflows, retrieval pipelines, etc.).

This is a hands-on coding role—you will architect solutions, write clean and efficient code, and collaborate closely with product, AI / ML, and Dev Ops teams to build reliable, modern software systems.

Key Responsibilities

• Full Stack Development Develop responsive, performant UI components using React, Type Script, Redux / Zustand, and modern frontend patterns.
• Build backend services using Node.js (Express / Nest.js), Python (Fast API / Django),
• Implement RESTful APIs, Graph QL endpoints, and backend business logic.
• Write clean, well-tested, maintainable code following engineering best practices.
• AI / LLM Integration Integrate LLM-based APIs (Open AI, Vertex AI, Azure Open AI, Anthropic, etc.) into frontend and backend systems.
• Work with AI / ML teams to consume internal inference APIs or vector search pipelines.
• Build workflows such as :
• Chat-based AI assistants
• RAG pipelines
• Document processing & embedding systems
• AI-driven automation inside products
• Implement features like prompt engineering, tooling integration, and safe / efficient LLM invocation.
• Architecture & System Design Design and develop microservices that are scalable, modular, and cloud-native.
• Own and enhance system architecture diagrams, API contracts, and data flow designs.
• Apply best practices in distributed systems (caching, queues, load balancing, resiliency).
• Cloud & Dev Ops Deploy and maintain apps on AWS / GCP / Azure.
• Experience with containerization and orchestration : Docker, Kubernetes.
• Contribute to CI / CD pipelines, monitoring, and observability (Git Hub Actions, Jenkins, Prometheus, Grafana, etc.).
• Database & Storage Work with SQL databases (Postgre SQL, My SQL) and No SQL systems (Mongo DB, Dynamo DB, Redis).
• Design optimized schemas and ensure efficient querying and indexing.
• Collaboration & Leadership Work cross-functionally with designers, PMs, AI engineers, and QA teams.
• Review code, mentor junior engineers, and enforce engineering discipline.
• Participate in sprint planning, architectural reviews, and technical roadmap discussions.

Required Skills & Experience