AI Engineer

Overview

AI Engineer Jobs in Dhaka, Bangladesh at Smartdata Technologies Limited

Title: AI Engineer

Company: Smartdata Technologies Limited

Location: Dhaka, Bangladesh

Company: SmartData Technologies Limited

Department: Solutions & Engineering Location: Dhaka, Bangladesh (on-site)

Employment Type: Full-time

Reports to: Head of Business Development / Solutions Engineering

About the Role

SmartData Technologies is a value-added ICT and cybersecurity solutions provider with 19+ years of experience and 50+ international technology partnerships across IT security, OT security, AI/IoT, and managed security services.

We are looking for an AI Engineer to design, build, and deploy applied AI across three high-growth areas of our portfolio:

1. Edge AI & computer vision — running and optimizing AI models on dedicated AI accelerator (NPU) hardware for real-world industrial and enterprise deployments.
2. AI-driven cybersecurity & secure networking — embedding AI/ML into detection, analytics, and secure-networking solutions.
3. Agentic AI — building autonomous, tool-using AI agents and multi-step workflow automation for internal products and customer solutions.

This is a hands-on engineering role for someone who wants to take AI from prototype to production in customer environments, not just experiment in notebooks.

Key Responsibilities

• Develop, fine-tune, and optimize computer-vision and deep-learning models (object detection, classification, tracking, OCR, image/video analytics) for production use cases.
• Deploy and optimize models on edge AI accelerator hardware and NPUs — including model conversion, quantization, and performance tuning for low-latency, resource-constrained environments.
• Integrate AI inference pipelines with cameras, sensors, and IoT devices for industrial and enterprise deployments.
• Build agentic AI systems — LLM-based agents with tool use, retrieval, memory, and multi-step orchestration — to automate workflows and power intelligent applications.
• Design and implement AI/ML capabilities within cybersecurity and secure-networking solutions, such as anomaly detection, behavioral analytics, and automated response.
• Develop and maintain APIs, microservices, and data pipelines that serve AI models reliably in production.
• Build proof-of-concepts and demos for customer opportunities, and support pre-sales and solution design with technical validation.
• Evaluate new models, frameworks, and hardware; benchmark performance; and recommend the right architecture for each use case.
• Document architectures, deployment procedures, and troubleshooting guides for internal teams and customers.
• Collaborate with sales, project, and field teams to move solutions from pilot to full deployment and ongoing support.

Requirements (Must Have)

• Bachelor's degree in Computer Science, Software Engineering, Electrical/Electronics Engineering, Data Science, or a related field.
• 2+ years of hands-on experience building and deploying machine-learning or deep-learning solutions (strong recent graduates with a solid portfolio will be considered).
• Strong proficiency in Python and its ML ecosystem.
• Practical experience with at least one deep-learning framework — PyTorch, TensorFlow, or equivalent.
• Solid understanding of computer vision (CNNs, object detection/segmentation architectures such as YOLO-family, and image/video processing with tools like OpenCV).
• Experience taking models to production: model optimization, quantization, ONNX/other runtime conversion, and inference on GPU or edge/NPU hardware.
• Working knowledge of LLMs and agentic AI concepts — prompt engineering, RAG, tool/function calling, and agent orchestration.
• Experience building and consuming REST APIs, and comfort with containerization (Docker).
• Familiarity with Linux environments and Git-based workflows.
• Strong problem-solving skills and the ability to work independently in a fast-moving, customer-facing environment.
• Good written and spoken English.

Preferred (Nice to Have)

• Experience deploying AI on edge devices, NPUs, or AI accelerator hardware for real-time inference.
• Exposure to workflow-automation / low-code orchestration tools for building agentic pipelines.
• Understanding of cybersecurity or networking fundamentals, or experience applying ML to security use cases (anomaly detection, threat analytics).
• Experience with video analytics at scale (multi-stream, RTSP, CCTV/IP-camera integration).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
• Knowledge of vector databases and embedding-based retrieval.
• Experience integrating AI features into full-stack applications.
• Prior work in a systems-integrator, solutions, or product-engineering setting.

What We Offer

• The chance to work at the intersection of edge AI, cybersecurity, and agentic AI on live, high-impact enterprise and government projects.
• Exposure to a broad portfolio of international technology platforms and real customer deployments.
• A collaborative environment with room to grow into solution-architecture and technical-leadership roles.
• Competitive compensation based on experience and skills.

How to Apply

• Send your CV, along with a portfolio or GitHub/project links demonstrating relevant AI/ML work here. Please include a short note on a model or AI system you have taken from prototype to a working deployment.