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.