AI Applied Engineer

4 weeks ago


Bhopal, India Zynka Technologies Full time

Location: Hybrid / Remote Type: Full-time Experience: 2 – 5 years About the Role We’re building intelligent systems that seamlessly blend into modern applications and workflows. As an AI Applied Engineer , you’ll design and ship AI-driven experiences — connecting APIs, reasoning logic, and user interfaces into reliable, production-grade products. You’ll work across the full stack — from backend orchestration to frontend experiences — bringing 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 that 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 behaviour. What You Bring 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. Startup mindset — bias for building fast, learning fast, and shipping often. Why Join Us Build applied AI that makes real impact — not research experiments. End-to-end ownership from concept to launch. Direct collaboration with founders and senior engineers. Fast-paced, product-driven environment with high creative freedom. Why Zynka At Zynka , we’re redefining how EV charging infrastructure and operations are managed — making energy systems smarter, more reliable, and more autonomous. Our platform combines AI, IoT, and intelligent automation to help charge point operators, service providers, and fleet managers run their networks efficiently.


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