Master Software Engineer

1 week ago

Karachi, Sindh, Pakistan beBee Careers Full time
Senior Software Architect

We are seeking a seasoned Solution Architect with extensive experience in Fullstack/Multistack development, cloud solutions, and modern software architecture.

This key technical leader will design scalable, secure, and reliable solutions, drive cloud migration, and optimize system performance.

  • Lead AI-driven Architectural Design & Strategy

The ideal candidate will guide technical decision-making for AI-powered software solutions, ensuring scalability, security, and efficiency.

They will establish best practices for AI and tech startup development, providing mentorship on system architecture, microservices, and AI deployment strategies.

  • Develop & Maintain AI-Ready Backend Services

Strong expertise in Python backend development (Django, FastAPI, or equivalent) is required to build robust backend services using Python.

Data pipelines, model inference APIs, and real-time processing frameworks for AI applications must be designed and implemented.

  • AI-Powered Frontend Development

The successful candidate will integrate AI models into web-based platforms, enabling real-time AI interactions and dynamic content generation.

AHCI-focused microservices, RESTful APIs, and Service-Oriented Architectures (SOA) for startups must be architected and implemented.

Seamless integration of machine learning models and AI services within distributed systems is essential.

Critical skills include leading AI model deployment and cloud infrastructure setup on AWS (IAM, EC2, S3, Lambda, CloudFormation, VPC, SageMaker, Bedrock, etc.).

  • Containerization & Scalable AI Workflows

Deploying and managing AI applications using Docker and Kubernetes, ensuring scalability and efficient resource utilization, is crucial.

Automating AI model training, inference, and A/B testing environments for incubated startups is also necessary.

  • Performance Optimization & Real-time AI Solutions

Enhancing AI model serving performance, caching mechanisms, and WebSocket-based real-time AI interactions is vital.

Optimizing vector databases, embedding-based search, and AI-driven recommendation engines will also be required.

  • Implement and refine CI/CD pipelines tailored for AI model versioning, monitoring, and iterative improvements.
  • Facilitate MLOps best practices to streamline AI lifecycle management.

Security, Scalability, & Compliance: The role requires designing AI solutions with a focus on data security, model robustness, and regulatory compliance (GDPR, AI ethics, etc.).

High availability and fault-tolerant AI architectures must also be ensured.

  • Innovate with Very Large Language Models (VLLMs) & AI Research

The ideal candidate will guide startups on leveraging VLLMs (Very Large Language Models), fine-tuning LLMs, and integrating generative AI capabilities.

Experimentation with edge AI, federated learning, and multimodal AI applications is also desired.

Requirements:

10 + years of experience as a Solution Architect, Technical Lead, or similar role.

Strong expertise in Python backend development (Django, FastAPI, or equivalent).

Hands-on experience with AWS cloud services and cloud infrastructure.

Strong knowledge of Docker, Kubernetes, and DevOps practices.

Experience with streaming data, WebSockets, and caching for performance optimization.

Expertise in CI/CD pipelines and automation using PowerShell, DevOps tools.

Understanding of microservices, RESTful APIs, and SOA.

Nice to have: Experience with AI applications and VLLM deployment.

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