▷ Apply in 3 Minutes: Full Stack AI Platform Lead

6 days ago

Chennai Guindy, India Jobted IN C2 Full time

Overview: 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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