SoftBank Mid-Level FDE

2 days ago

Chennai, Tamil Nadu, India Prodapt Full time
Overview

We are looking for a motivated and technically proficient Full Stack AI Platform Engineer to contribute to the design, development, and deployment of intelligent, scalable, and cloud-native applications. This role involves working across the stack from frontend interfaces to backend services and AI integrations while collaborating with cross-functional teams to deliver impactful solutions.

Responsibilities

Frontend Development

  • Develop responsive and dynamic Single Page Applications (SPAs) using React frameworks like or Remix.
  • Build user interfaces that support generative AI workflows, including streaming responses (SSE).
  • Collaborate with design and product teams to prototype and iterate on UI features.
  • Use TailwindCSS or similar tools to streamline styling and layout.

Backend Development

  • Build scalable backend services using Python and FastAPI, aligned with Microservices Architecture (MSA) principles.
  • Develop and maintain RESTful APIs and support MCP server/client implementations.
  • Apply clean coding practices and contribute to unit testing and modular design.

Applied AI Engineering

  • Integrate generative AI capabilities into backend systems, enabling real-time and streaming interactions.
  • Implement basic prompt engineering techniques and contribute to refining AI responses.
  • Support the implementation of guardrails for safe and reliable AI behavior.

DevOps & Cloud Automation

  • Deploy containerized applications using Docker Compose and Kubernetes.
  • Automate infrastructure provisioning using Terraform.
  • Work within AWS, Azure, or other public cloud platforms to support CI/CD and environment management.

Soft Skills:

  • Strong problem-solving and analytical thinking.
  • Effective communication and collaboration across teams.
  • Eagerness to learn and grow in emerging technologies like generative AI.
  • 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.
  • AI Engineering: Prompt engineering basics, streaming AI responses, LangChain/OpenAI/Hugging Face.
  • DevOps: Docker, Kubernetes, Terraform, CI/CD, AWS/Azure fundamentals.

Preferred Qualifications:

  • Exposure to vector databases, LLM orchestration frameworks, and real-time AI pipelines.
  • Familiarity with monitoring tools and cloud security best practices.
  • Experience working in agile teams and contributing to cross-functional projects.
  • Cloud or DevOps certifications are a plus.

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