Full Stack AI Platform Lead

5 days ago

Guindy Chennai Tamil Nadu, India Prodapt Solutions 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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