# Software AI Engineer

**Company:** [Devsinc](https://jobs.workable.com/companies/gWENVsf3ZwDVDSyeJGDGFF.md)
**Location:** Lahore, Pakistan
**Workplace:** on site
**Employment type:** Full-time
**Department:** Cluster Head

[Apply for this job](https://jobs.workable.com/view/b3844dc3-53f3-4aa4-9832-8352ac876651)

## Description

We are looking for a skilled and experienced **Software AI Engineer** to design, develop, deploy, and maintain scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Python programming, machine learning algorithms, deep learning frameworks, cloud platforms, and production-grade model deployment.

The candidate will collaborate with cross-functional teams to develop intelligent applications, optimize model performance, and integrate AI/ML solutions into existing systems and business workflows.

## Requirements

-   Design, develop, train, and optimize machine learning and deep learning models for real-world applications.

-   Build AI/ML pipelines for data preprocessing, feature engineering, model training, evaluation, and inference.
-   Develop AI-powered applications using Python and relevant AI/ML libraries and frameworks.
-   Implement Generative AI, Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG) solutions where required.
-   Deploy, monitor, and maintain production-ready AI/ML models on cloud platforms.
-   Develop scalable APIs and backend services using FastAPI, Flask, or Django.
-   Implement MLOps practices for model versioning, monitoring, testing, and deployment automation.
-   Optimize model performance, scalability, reliability, and cloud resource utilization.
-   Collaborate with cross-functional teams and provide technical guidance to junior engineers.

### **Responsibilities:**

-   Minimum 2+ years of professional experience in AI/ML engineering, machine learning, or a related field.
-   Strong proficiency in Python and libraries such as NumPy, Pandas, SciPy, and Scikit-learn.
-   Hands-on experience with AI/ML and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
-   Strong understanding of machine learning algorithms, deep learning, feature engineering, model evaluation, and hyperparameter tuning.
-   Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
-   Practical experience deploying AI/ML models into production environments.
-   Knowledge of Docker, Kubernetes, CI/CD pipelines, and model-serving technologies.
-   Familiarity with MLOps tools such as MLflow or Kubeflow.
-   Experience developing REST APIs using FastAPI, Flask, or Django.
-   Working knowledge of SQL, databases, Git, automated testing, and monitoring tools.
-   Familiarity with Hugging Face Transformers, LangChain, LlamaIndex, LLMs, and RAG is preferred.