
AI Engineer for Golang-Powered AI Systems – Pakistan
About Our Engineers
This engineer is a backend-first AI developer with a strong focus on Golang. With 5+ years of experience, they’ve worked on scalable ML-driven applications, low-latency APIs, and real-time AI pipelines. They build systems that handle heavy loads, cleanly integrate with AI models, and run reliably in production.
Key Expertise & Skills
Golang Backend Engineering
AI Model Integration
REST & gRPC APIs
Machine Learning Pipelines
Microservices Architecture
AI Automation Tools
Prompt Engineering
Data Streaming
Distributed Systems
Technologies & Tools
Golang
Python
TensorFlow
OpenAI GPT API
Kafka
Redis
PostgreSQL
Docker
Kubernetes
gRPC
FastAPI
Google Cloud
AWS Lambda
Projects Our Engineers Have Worked On
- AI-Driven Notification System in Go – Built a distributed notification engine using Golang + Kafka for a marketing platform; integrated GPT-4 to write messages dynamically based on customer behavior across 10+ channels.
High-Performance GPT API Gateway – Developed a scalable gateway in Go that serves thousands of concurrent GPT requests per minute with caching and retry logic; reduced latency by 40% for an EdTech firm.
Go-Based AI Code Review Assistant – Created a GPT-integrated backend that reviews developer commits and comments on PRs automatically; used in CI/CD with Slack alerts, improving review cycles by 50%.
Real-Time Invoice Classifier – Built a data pipeline that ingests PDF invoices, sends them to an AI model, and stores structured results in PostgreSQL; deployed with Go routines and Redis for async processing.
Smart FAQ Chatbot Engine – Used Golang to orchestrate GPT-3.5 answers for a multilingual customer support platform; built logging and fallback routing with under 150ms response time.
Serverless Go App for Field Workers – Delivered a lightweight GCP-based Golang app that sends real-time form data to a Whisper transcription and NLP summarizer; cut manual work for field teams by 60%.
Who Should Hire This Engineer?
Tech startups building AI-powered platforms
Fintech companies needing real-time backend pipelines
SaaS teams requiring scalable and fast APIs
Enterprises modernizing legacy systems with Go
AI platforms using GPT/LLMs for production tools