AI Applied Engineer

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.