Full Stack AI Platform Lead

5 days ago

Chennai, Tamil Nadu, India Prodapt Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Overview

We are seeking a versatile and highly skilled Full Stack AI Platform Engineer to design, develop and deploy intelligent, scalable and cloud-native applications. This role blends frontend and backend development with applied AI engineering and DevOps practices. The ideal candidate will have hands-on experience across the stack with a strong understanding of generative AI workflows, microservices architecture, and cloud automation.

Responsibilities

Frontend Development

Build responsive and performant Single Page Applications (SPAs) using React frameworks like js or Remix.Design intuitive UIs that support generative AI interactions, including streaming (SSE) and real-time updates.Rapidly prototype and iterate on UI concepts in collaboration with clients and stakeholders.Utilize modern styling tools like TailwindCSS to enhance development efficiency.

Backend Development

Develop scalable backend services using Python and FastAPI, following Microservices Architecture (MSA)Build and maintain RESTful APIs and support MCP (Multi-Channel Processing) server/client implementations.Apply Test-Driven Development (TDD) and Clean Architecture principles to ensure code quality and maintainability.

Applied AI Engineering

Design backend systems optimized for generative AI, including streaming responses and LLM orchestration.Implement and refine prompt engineering strategies (e.g., few-shot, CoT, RAG).Integrate guardrails and safety mechanisms to ensure responsible AI behavior.Collaborate with AI/ML teams to embed intelligent features into platform components.

DevOps & Cloud Automation

Manage containerized deployments using Docker Compose and Kubernetes.Automate infrastructure provisioning using Terraform.Support CI/CD pipelines and ensure smooth deployment across environments.Operate within AWS, Azure, or other public cloud platforms with a strong understanding of cloud-native services.

Soft Skills:

Strong problem-solving and analytical thinking.Excellent communication and collaboration skills.Ability to work in a fast-paced, agile environment with cross-functional teams.Ability to empathize with customer challenges and engage in conversations.Defining technical requirements based on business needs and conveying them to customers.Effectively communicating complex technical concepts to both technical and non-technical audiences.Correctly understanding the feasible requirements and limitations of AI and educating customers.Building close relationships with customers and understanding their requirements.Requirements

Required Skills:

Frontend: React, , TailwindCSS, JavaScript/TypeScript, SSE/WebSockets.Backend: Python, FastAPI, REST APIs, Microservices, TDD, Clean Architecture.AI Engineering: Prompt engineering, streaming AI responses, guardrails, LangChain/OpenAI/Hugging Face.DevOps: Docker, Kubernetes, Terraform, CI/CD, AWS/Azure fundamentals.

Preferred Qualifications:

Experience with vector databases, LLM orchestration frameworks, and real-time AI pipelines.Familiarity with GitOps, monitoring tools and security best practices.Contributions to open-source projects or a strong personal portfolio.

Cloud certifications (AWS/Azure) or DevOps certifications are a plus.

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