Senior AI Engineer

CreditNinja - KMD Partners, LLC; Lahore; On-site; PKR 1,500,000 - 2,000,000; Full time

Job summary

A technology firm is seeking an exceptional Senior AI Engineer to join its team. The role combines deep technical AI expertise with software engineering to deliver scalable AI-powered systems. Candidates should have over 5 years of experience, including software development and AI/ML specialization, particularly with LLMs and production deployments. Skills in Python, cloud platforms, and Agile methodologies are essential. This position is located in Lahore, Punjab, Pakistan.

Qualifications

• Total 5+ years of experience required.
• 3+ years in software development with 2+ years in AI/ML.
• Experience with LLMs and production AI deployments.

Skills

Python

Cloud platforms (AWS/Azure)

C#/.NET 6+

OpenAI GPT-4

Agile/Scrum

Tools

Docker

Terraform

SQL Server/PostgreSQL

Job description

We are seeking an exceptional Senior AI Engineer to join our team. Title determined based on the applicants experience and capabilities and qualifications. This role combines deep technical AI expertise with practical software engineering, focusing on delivering scalable AI-powered systems and agentic workflows that drive measurable business outcomes.

Required Technical Skills

Programming & Infrastructure: Python, Pydantic, C#/.NET 6+, Cloud platforms (AWS/Azure), Git/GitHub), infrastructure as code (Terraform)

AI & LLM Operations: OpenAI GPT-4, Anthropic Claude, LangChain/LangGraph, AutoGen, token optimization, prompt engineering, model fine-tuning, agentic workflow orchestration, cost monitoring & FinOps, API rate limiting

Data Systems: SQL Server/PostgreSQL, vector databases, real-time data processing

Platform: RESTful APIs, CI/CD, MLOps, Docker or similar

Operations: Monitoring, logging, debugging, and systems optimization

• Total 5 years plus experience
• Core Development: 3+ years in software development with 2+ years in AI/ML
• AI Specialization: Experience with LLMs, agentic system design, and production AI deployments
• Methodology: Agile/Scrum, Jira, Azure DevOps, Confluence
• Data Systems: SQL Server/PostgreSQL, vector databases, real-time data processing
• AI & LLM Operations: OpenAI GPT-4, Anthropic Claude, LangChain/LangGraph, AutoGen, token optimization, prompt engineering, model fine-tuning, agentic workflow orchestration, cost monitoring & FinOps, API rate limiting