Fullstack Ai Platform

1 week ago

bangalore, India TetriQ Solutions Full time

Experience : 5-10 years Location : Bengaluru,Chennai Notice Period : Immediate to 30 days Job Description: Job Summary: 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. Key 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. Machine Learning and data science experience should be their. 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. 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,Machine learning,data science 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. 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.

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