Full Stack AI Developer

Job Description:

• We are seeking a hands-on Full Stack - Gen 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:

• 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.