AI FullStack Engineer

DTDL group.; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

DTDL group. is seeking an Android Developer to design and ship high-quality apps for consumer and enterprise users. You will integrate cloud LLM APIs, build AI-powered tools, and contribute to reusable internal components in a structured enterprise setting.

The role requires strong Kotlin, Jetpack Compose, MVVM, and Android architecture expertise, with hands-on AI feature experience and CI/CD exposure. Collaboration across teams is essential for end-to-end delivery.

Qualifications

• Bachelors or equivalent in CS/Engineering or related field preferred.
• Strong Android development experience with Android 5+ APIs.
• Hands-on experience integrating at least one AI-powered feature in a real product.

Responsibilities

• Design and ship high-quality Android apps for consumer and enterprise users.
• Integrate cloud LLM APIs for intelligent features and cost-aware usage.
• Build internal AI tools and automate testing/workflows.
• Collaborate with backend/QA/design/product in a structured enterprise setup.
• Contribute to reusable internal components and SDKs.

Skills

Kotlin

Coroutines

Flows

Jetpack Compose

XML Layouts

MVVM

Clean Architecture

ViewModel

StateFlow

Navigation

Room

WorkManager

Hilt

Koin

LLM API integration

Prompt engineering

RAG

Knowledge base

MCP

CI/CD

Automated testing

Tools

OpenAI API

Anthropic API

Gemini API

Job description

Design and ship high-quality Android applications for consumer and enterprise audiences, while leveraging AI/LLM tools to build intelligent product features and accelerate development workflows.Build and maintain robust Android applications using Kotlin, Jetpack Compose, and XML layouts.Own end-to-end feature delivery — from architecture and UI to API integration, testing, and release.Integrate cloud LLM APIs (OpenAI, Anthropic, Gemini, etc.) into mobile apps to power intelligent, user-facing features.Build internal AI-powered developer tools — code assistants, smart documentation helpers, automated testing aids, and similar workflow accelerators.Design lightweight prompt engineering solutions and manage LLM API call lifecycles — error handling, retries, latency, and cost‑awareness on the client side.Collaborate with backend, QA, design, and product teams in a structured enterprise environment.Contribute to reusable internal components or SDKs that make LLM capabilities easier to leverage across the team.

Skills Required:

Android Developer role demands strong mobile engineering as the foundation, augmented with practical AI/LLM integration experience —Kotlin (must‑have) — coroutines, flows, modern async patternsJetpack Compose + XML layouts — hands‑on with bothAndroid architecture — MVVM, clean architecture, Jetpack components (ViewModel, StateFlow, Navigation, Room, WorkManager)Dependency injection — Hilt or KoinLLM API integration — calling and consuming OpenAI, Anthropic, Gemini or equivalent in productionPrompt engineering basics — context management, token usage, cost tradeoffsRAG (Retrieval‑Augmented Generation) — working knowledge of retrieval pipelines and when to apply themKnowledge base construction — familiarity with chunking, embedding, and indexing content for LLM consumptionMCP (Model Context Protocol) — basic awareness of how tools, APIs, and data sources connect to LLM workflows

Ideal Profile:

3–5 years of professional Android development with a portfolio of shipped consumer and/or enterprise applications.Hands‑on experience integrating at least one AI‑powered feature or developer tool into a real product or workflow.Strong understanding of Android performance, debugging, and release processes in a structured team environment.Practical knowledge of LLM concepts — prompts, context engineering, basic RAG, knowledge bases, and latency/cost tradeoffs.Familiarity with MCP and how it enables LLM‑connected workflows.CI/CD experience, automated testing (unit + instrumentation), and comfort with enterprise‑grade release processes.