Full Stack AI Developer

Actively Reviewing the Applications

Durapid Technologies Private Limited

2–4 years

Posted 1 day ago • Apply by June 11, 2026

Job Description

Durapid Technologies is a Microsoft Data and AI Partner offering AI Software Development, Data and AI Practices, and Enterprise Software Development, IT Contractual Staffing services

Job Description

We are seeking a hands-on Full Stack - AI Developer with expertise across AI, frontend, backend, and cloud-native engineering.
You will build end-to-end web and AI solutions, design robust APIs, deliver Gen AI-powered apps, and cloud services for enterprise use cases.
The role blends AI innovation, frontend/backend engineering, and modern cloud architecture.

Responsibilities

Design and develop full-stack AI based web applications and APIs (React/Angular.js + FastAPI/Django).
Integrate generative AI models (Claude, OpenAI, Llama, Gemini) in user-facing workflows and backend services.
Architect RAG pipelines, vector search, and dynamic prompt chains (LangChain, LlamaIndex, Pinecone).
Build scalable serverless cloud solutions (AWS Lambda, GCP Functions, Azure Logic Apps) for AI inference, orchestration, and secure data flows.
Develop UX-centric, responsive frontends (ReactJS, Angular.js, Figma, Tailwind).
Ensure robust authentication/authorization (JWT/OAuth2) and API versioning.
Engineer microservices, gateways, and event-driven architectures for LLM integration and data streaming.
Optimize model, app, and cloud performance for latency, throughput, and cost.
Implement CI/CD pipelines—containerization (Docker), orchestration (Kubernetes), automated testing, and deployments.
Collaborate with AI, product, frontend, data, and cloud teams for end-to-end delivery.

Required Knowledge

Python, TypeScript, JavaScript, and system design patterns.
Deep expertise with Gen AI models, LLMs, prompt engineering, embeddings, and retrieval workflows.
Frontend: React, Angular.js, component libraries (Material UI, Storybook), responsive design.
Backend: FastAPI, Django, Express, microservices, API best practices.
Vector databases (Pinecone, Weaviate, Chroma), NoSQL, and relational DB schema design.
Cloud: AWS, Azure, GCP, serverless compute, cloud-native patterns, cost optimization, infrastructure as code.
Strong knowledge of authentication, authorization, and secure engineering practices.
Familiarity with UX prototyping, Figma, and user-journey mapping.
Cross-team collaboration skills.

Qualifications

2+ experience in full stack development, AI/ML, Frontend and cloud engineering.
Bachelor’s / Master’s in Computer Science, AI, Software Engineering, or related fields.
End-to-end delivery of Gen AI prototypes, web applications, and enterprise solutions.
Strong analytical, architectural, and cross-functional teamwork abilities.
Hackathon-level or personal Gen AI projects, with frontend and cloud deployments.

Skills: python,artificial intelligence,react