AI Applied Engineer

Location:

Type:

Experience:

About the Role

We’re building intelligent systems that seamlessly blend into modern applications and workflows.

AI Applied Engineer

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

Zynka