Application Developer

Bot Jobs; Bengaluru; On-site; INR 1,400,000 - 1,600,000; Full time

Job summary

Bot Jobs is seeking an Application Developer in Bengaluru for a full-time role. The candidate will drive Python backend development and Vue.js frontend work, building scalable, AI-enabled enterprise applications.

Ideal applicants have 5 years of experience, hands-on leadership, and expertise in cloud-native architectures, LLMs, RAG, and agentic workflows to deliver advanced AI-powered solutions.

Qualifications

• 5 years of experience required.
• Full-time role based in Bengaluru.
• Experience in backend with Python and frontend with Vue.js.

Responsibilities

• Build enterprise applications with Python backend and Vue.js frontend.
• Design cloud-native architectures for scalable AI-driven solutions.
• Lead technical design reviews and set coding standards.
• Develop AI-enabled business applications with agentic workflows.
• Ensure secure, scalable, and maintainable software delivery.

Skills

Python

Vue.js

Cloud-native

LLMs

RAG

AI Agents

Agentic Workflows

Leadership

Tools

Kubernetes (AKS)

Docker

Azure

REST APIs

FastAPI

Django

Flask

Elasticsearch

Job description

Application Developer

• ₹14L - ₹16L No equity
• Bengaluru
• 5 years of exp
• Full Time

About the job

Ex - 5+. Location - BLR (5 days WFO).

Job Role: This role combines software engineering, AI engineering, cloud-native architecture, and technical leadership to deliver scalable enterprise solutions across retail and group functions.

The ideal candidate will possess strong expertise in Python backend development, Vue.js frontend engineering, cloud-native architecture, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Agentic Workflows. The role requires hands‑on technical leadership while mentoring engineers and driving engineering excellence across the team.

You will be responsible for building intelligent business applications that seamlessly combine traditional software capabilities with AI-driven automation, decision support, and autonomous agent execution.

Agentic AI Solution Development

Design and develop enterprise‑grade Agentic AI solutions leveraging LLMs, AI Agents, Multi‑Agent Systems, and Retrieval‑Augmented Generation (RAG) architectures.

Build intelligent agents capable of reasoning, planning, tool usage, workflow orchestration, and autonomous task execution.

Develop AI‑powered business applications integrating conversational AI, automation, enterprise knowledge retrieval, and decision intelligence.

Design and implement multi‑agent systems that collaborate to solve complex business challenges across retail and corporate functions.

Establish best practices for prompt engineering, context management, agent memory, evaluation, monitoring, and governance.

Evaluate emerging AI technologies, models, frameworks, and tools to continuously enhance platform capabilities.

Full Stack Application Development

Build mission‑critical enterprise applications using Python‑based backend frameworks and Vue.js frontend technologies.

Design and develop scalable APIs and microservices supporting AI‑powered and Full Stack Application Development traditional business workflows.

Create intuitive and responsive user experiences that seamlessly integrate AI capabilities into business processes.

Develop real‑time applications supporting conversational interfaces, workflow automation, and intelligent decision support.

Follow software engineering best practices to deliver scalable, maintainable, and secure solutions.

Architecture & Engineering

Design cloud‑native architectures that are scalable, resilient, secure, and maintainable.

Define architectural patterns for Agentic AI systems, enterprise AI platforms, and business applications.

Drive adoption of microservices, event‑driven architectures, API‑first design, and domain‑driven design principles.

Lead technical design reviews and architecture discussions.

Establish coding standards, reusable frameworks, engineering accelerators, and development best practices.

Cloud & Platform Engineering

Develop and deploy applications on Kubernetes‑based infrastructure (AKS preferred).

Design and maintain CI/CD pipelines supporting rapid and reliable software delivery.

Implement observability through monitoring, logging, tracing, alerting, and AI evaluation frameworks.

Ensure applications meet enterprise standards for security, performance, scalability, and reliability.

Collaborate with platform teams to optimise cloud infrastructure and deployment strategies.

Requirements

Generative AI Platforms

Azure AI Search

Vector Databases

Elasticsearch

Backend Development

Python

FastAPI

Flask

Django

REST APIs

Event-Driven Architecture

Microservices

Async Programming

Knowledge Systems & Search

Azure AI Search

Vector Databases

Elasticsearch

Backend Development

Python

FastAPI

Flask

Django

REST APIs

Event-Driven Architecture

Microservices

Async Programming

Backend Development

Python

FastAPI

Flask

Django

REST APIs

Event-Driven Architecture

Microservices

Async Programming

Cloud & Infrastructure

Microsoft Azure

Kubernetes (AKS)

Docker

Azure Container Registry

Azure Key Vault

Azure Functions

Azure Service Bus

Azure Event Hub

Databases & Data Platforms

PostgreSQL

SQL Server

Redis

MongoDB

DevOps & Platform Engineering

Git

Azure DevOps

CI/CD Pipelines

Skills

Python

SQL

Generative AI