AI Applied Engineer

Role Overview: You will be responsible for designing and shipping AI-driven experiences, connecting APIs, reasoning logic, and user interfaces into reliable, production-grade products. Working across the full stack, you will bring AI into everyday business workflows without the complexity of model training or infrastructure heavy-lifting. Key Responsibilities: - Build AI-powered components and microservices using Python (FastAPI) or TypeScript (Node.js / Next.js). - Design React + Next.js front-ends to deliver intelligent, context-aware user experiences. - Integrate LLM APIs (OpenAI, Azure AI, Anthropic, etc.) into applications and workflows. - Develop agentic and RAG workflows for reasoning, automation, and decision support. - Connect to internal and external systems using MCP, REST, GraphQL, or SQL integrations. - Implement prompt templates, tool integrations, and context orchestration logic. - Optimize latency, cost, and reliability of AI-driven features with proper caching and observability. - Contribute to telemetry, evaluations, and guardrails to ensure responsible AI behavior. Qualification Required: - Strong programming skills in Python and TypeScript. - Hands-on experience with React + Next.js for building responsive, data-driven UIs. - Experience working with LLM APIs and frameworks like LangChain, OpenAI Agents SDK, CrewAI, or Autogen. - Understanding of API integration, data models, and workflow automation. - Familiarity with RAG, prompt engineering, and context management. - Comfortable with Docker, Kubernetes, and cloud deployment (Azure / AWS). - Preference for developers who actively use AI-native tools like Cursor, Lovable, or Copilot to accelerate development. About the Company: At Zynka, they are redefining how EV charging infrastructure and operations are managed to make energy systems smarter, more reliable, and more autonomous. Their platform combines AI, IoT, and intelligent automation to help charge point operators, service providers, and fleet managers run their networks efficiently.,