AI Applied Engineer

3 weeks ago

New Delhi, India Zynka Technologies Full time

Location:Hybrid / Remote Type:Full-time Experience:2 – 5 years About the RoleWe’re building intelligent systems that seamlessly blend into modern applications and workflows. As anAI 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 ResponsibilitiesBuildAI-powered components and microservicesusingPython (FastAPI)orTypeScript (Node.js / Next.js) . DesignReact + Next.jsfront-ends that deliver intelligent, context-aware user experiences. IntegrateLLM APIs(OpenAI, Azure AI, Anthropic, etc.) into applications and workflows. Developagentic and RAG workflowsfor reasoning, automation, and decision support. Connect to internal and external systems using MCP, REST, GraphQL, or SQL integrations. Implementprompt templates ,tool integrations , andcontext orchestration logic . Optimizelatency, cost, and reliabilityof AI-driven features with proper caching and observability. Contribute totelemetry, evaluations, and guardrailsto ensure responsible AI behaviour. What You BringStrong programming skills inPythonandTypeScript . Hands-on experience withReact + Next.jsfor building responsive, data-driven UIs. Experience working withLLM APIsand frameworks likeLangChain ,OpenAI Agents SDK , CrewAI or Autogen. Understanding ofAPI integration ,data models , andworkflow automation . Familiarity withRAG ,prompt engineering , andcontext management . Comfortable withDocker ,Kubernetes , andcloud deployment(Azure / AWS). Preference for developers who actively useAI-native toolslikeCursor ,Lovable , orCopilotto accelerate development. Startup mindset — bias for building fast, learning fast, and shipping often. Why Join UsBuildapplied AIthat 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 ZynkaAtZynka , we’re redefining howEV charging infrastructure and operationsare managed — making energy systems smarter, more reliable, and more autonomous. Our platform combinesAI, IoT, and intelligent automationto help charge point operators, service providers, and fleet managers run their networks efficiently.

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