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AI Engineer

Full-Time

On-Site

Haripur, Pakistan

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About the Role

This is a production engineering role — not prototyping, not research. You’ll design and ship intelligent workflows and agent behaviours that run in live client environments from day one, working as part of Pod Zero, a cross-project shared capability team serving multiple clients.

You’ll work closely with RiverAI delivery engineers and the Pod Zero QA Tester, pulling work from a shared pod backlog and contributing directly to the systems our clients depend on. If you want to build AI that actually gets used — this is that role.

What You'll Do

  • Design and deploy intelligent workflows and agent behaviours in OneReach.ai
  • Route tasks across LLMs based on cost, capability, and context requirements
  • Build and optimise prompts, context windows, and memory architectures per model
  • Deploy agents across Azure AI and AWS Bedrock depending on client infrastructure
  • Integrate agents with APIs, vector databases, RAG pipelines, RPA tools, and enterprise platforms
  • Implement human-in-the-loop and AI-in-the-loop patterns for safe, explainable operation
  • Support live AI Operations engagements — monitor, improve, and scale deployed agents
  • Contribute to reusable patterns, playbooks, and multi-model prompt libraries for the wider team

What We're Looking For

  • Required
  • 3+ years in AI engineering, automation, or workflow development
  • Full-stack development experience — JavaScript/TypeScript, React, and Node.js
  • Hands-on experience with OneReach.ai or a comparable orchestration platform
  • Prompt engineering across multiple LLMs — not limited to a single model
  • API and webhook integration experience with structured data handling
  • Containerisation with Docker
  • Multi-agent design — routing, fallback, and coordination patterns
  • Clear communicator who can explain a complex technical design in plain language
  • Desirable
  • Experience deploying on Azure AI and/or AWS Bedrock
  • Vector database and RAG pipeline design experience
  • Familiarity with RPA/BPM tools such as UiPath or enterprise integration patterns
  • Model evaluation and cost/performance optimisation across providers
  • Awareness of AI safety standards — EU AI Act, ISO 42001, or NIST AI RMF

Tools & Technologies

Technologies, platforms, and tools you’ll be working with.

OneReach.ai

JavaScript / TypeScript

React

Node.js

Azure AI

AWS Bedrock

Docker

UiPath / RPA

Claude / OpenAI / Gemini

Vector Databases

RAG Pipelines

REST APIs & Webhooks

Regression Suites & Golden Datasets

Multi-Agent Coordination

HITL Patterns

Apply for AI Engineer