SoftBank Mid-Level FDE at Prodapt

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.

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.

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.