AI Engineer: Production-Grade Multimodal & LLM Systems

APP IN SNAP (Private) Limited; Islamabad; On-site; PKR 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Medical Insurance

Life Insurance

Provident Fund

Professional Certifications

Training & Development Programs

EOBI

Job summary

APP IN SNAP (Private) Limited seeks a highly skilled AI Engineer to design, develop, and deploy scalable AI solutions across NLP, Computer Vision, Generative AI, and MLOps domains. The candidate will build production-grade AI systems, optimize model performance, and translate business requirements into robust AI pipelines.

Responsibilities include designing and deploying models, building RAG-based systems, end-to-end AI pipelines, and implementing safe, scalable AI services in production while

Qualifications

• Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, or a related field.
• 3–5 years of experience in AI/ML engineering or related roles.
• Experience with multi-agent systems and AI orchestration frameworks.
• Knowledge of recommendation systems and ranking algorithms.
• Experience in multimodal AI (vision + text + speech).
• Familiarity with NL-to-SQL systems and conversational AI.
• Experience with real-time AI systems and low-latency optimization.
• Understanding of AI evaluation, monitoring, and explainability techniques.

Responsibilities

• Design, develop, and deploy AI/ML models for real-world applications across NLP, CV, and Generative AI.
• Build and optimize LLM-based systems, including RAG pipelines, embeddings, and prompt engineering frameworks.
• Develop end-to-end AI pipelines, including data ingestion, preprocessing, model training, evaluation, and deployment.
• Implement agentic AI systems using frameworks like LangChain, LangGraph, or similar tools.
• Develop and maintain MLOps pipelines including model versioning, monitoring, CI/CD, and performance tracking.
• Ensure low-latency, scalable, and reliable AI services in production environments.
• Collaborate with cross-functional teams to define AI driven solutions.
• Implement AI safety, guardrails, and evaluation frameworks to ensure responsible AI deployment.

Skills

Python

LLMs

Prompt engineering

Multi-agent systems

Model optimization

Education

Bachelor's or Master's in Artificial Intelligence or Computer Science

Tools

PyTorch

TensorFlow

Hugging Face

FastAPI

Docker

CI/CD

AWS

GCP

Job description

APP IN SNAP (Private) Limited seeks a highly skilled AI Engineer to design, develop, and deploy scalable AI solutions across NLP, Computer Vision, Generative AI, and MLOps domains. The candidate will build production-grade AI systems, optimize model performance, and translate business requirements into robust AI pipelines.

Responsibilities include designing and deploying models, building RAG-based systems, end-to-end AI pipelines, and implementing safe, scalable AI services in production while