▷ [22/10/2025] SoftBank Mid-Level FDE

4 weeks ago

Chennai Guindy, India Jobted IN C2 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 Next.js 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, Next.js/Remix, 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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