# Senior Software Engineer - Artificial Intelligence/Machine Learning

> Devsinc · Lahore, Pakistan · Full-time · Posted 2026-05-16

**Workplace:** on_site

**Department:** Cluster Head

## Description

Devsinc is looking to hire a highly skilled **Senior** **Software Engineer - Data+AI/ML** with **4+ years of professional experience** in building and deploying **production-grade AI/ML systems, LLM-powered applications, and scalable data engineering solutions.**

This role requires strong hands-on expertise in **AI/ML Engineering, MLOps, Backend Engineering, and Data Engineering**, with ownership across the complete lifecycle, from designing **LLM applications, RAG pipelines, embeddings, and inference systems** to building **ETL/ELT pipelines, cloud-native infrastructure, and real-time data processing architectures.  
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**Responsibilities:**

-   Design, develop, fine-tune, and deploy **AI/ML models, including LLM-powered applications, RAG pipelines, embeddings, vector search architectures, and inference systems** for real-world business use cases.
-   Build and optimize **high-performance Python-based APIs, microservices, and backend services** for AI workloads, while collaborating with **Engineering teams, Project Managers, and business stakeholders** to deliver scalable, production-grade AI solutions.
-   Design and implement **MLOps workflows and cloud-native infrastructure** across **AWS, and GCP**, including **experiment tracking, model versioning, deployment automation, monitoring, and model optimization through hyperparameter tuning, quantization, and inference optimization.**
-   Design, develop, and maintain scalable **ETL/ELT pipelines** for structured and unstructured datasets.
-   Build and optimize **data transformation, cleansing, validation, and quality frameworks**, while working with **distributed and streaming technologies such as Kafka, Spark, Kinesis, and Pub/Sub** for real-time data processing.
-   Ensure **reliability, scalability, security, and cost optimization** across AI and data infrastructure, while documenting **architecture decisions, technical workflows, and engineering standards**.

## Requirements

-   Bachelor’s degree in **Computer Science, Software Engineering, AI, Data Science**, or related field.
-   **4+ years of hands-on experience** in **AI/ML Engineering, Data Science, or Backend Systems**.
-   Strong proficiency in **Python and SQL**, with hands-on experience in **production-grade AI/data systems**, relational/non-relational databases, and AI/ML libraries such as **PyTorch, TensorFlow, Scikit-learn, Hugging Face, Pandas, and NumPy**.
-   Hands-on experience with **data engineering frameworks** such as **Apache Spark, Airflow, dbt, or Databricks**.
-   Strong understanding of **ML fundamentals, neural networks, NLP, model optimization, and hands-on experience with LLMs, RAG, embeddings, vector databases, and fine-tuning techniques (LoRA, PEFT, QLoRA).**
-   Proven experience in deploying **AI models through APIs, microservices, and real-time inference systems**, along with **MLOps tools such as MLflow, SageMaker, Vertex AI, and Weights & Biases.**
-   Strong exposure to **MLOps platforms and cloud ecosystems** such as **MLflow, SageMaker, Vertex AI, Weights & Biases, AWS, Azure, and GCP** for model training, deployment, monitoring, and lifecycle management.
-   Proficiency in **Docker, Kubernetes, and CI/CD pipelines** for containerization, orchestration, scalable deployments, and production environment management.
-   Strong understanding of **distributed systems, machine learning fundamentals, data architecture, security, and scalable system design**.

## Apply

[Apply at Devsinc](https://apply.workable.com/devsinc-17/j/365CDD0B5D/apply)

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