AI Application Development 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 DevOps teams to build reliable, modern software systems.

Key Responsibilities

• Full Stack Development Develop responsive, performant UI components using React , TypeScript, Redux / Zustand, and modern frontend patterns.
• Build backend services using Node.Js (Express / Nest.Js) , Python (FastAPI / Django) ,
• Implement RESTful APIs, GraphQL endpoints, and backend business logic.
• Write clean, well-tested, maintainable code following engineering best practices.
• AI / LLM Integration Integrate LLM-based APIs (OpenAI, Vertex AI, Azure OpenAI, 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 & DevOps Deploy and maintain apps on AWS / GCP / Azure .
• Experience with containerization and orchestration : Docker, Kubernetes .
• Contribute to CI / CD pipelines, monitoring, and observability (GitHub Actions, Jenkins, Prometheus, Grafana, etc.).
• Database & Storage Work with SQL databases (PostgreSQL, MySQL) and NoSQL systems (MongoDB, DynamoDB, 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