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Full Stack AI Platform Lead

5 - 9 years

7 - 11 Lacs

gonda chennai

Posted:5 days ago| Platform: Naukri logo

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Skills Required

automation backend prototype orchestration tdd analytical agile test driven development open source python

Work Mode

Work from Office

Job Type

Full Time

Job Description


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, Next.js/Remix, 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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