|
Vacancies
|
Not Mentioned (Multiple positions available) |
|
Employment Type
|
Full Time |
|
Gender
|
Not specified |
|
Job Location
|
Dhaka (Gulshan) |
|
Salary
|
-- |
|
Other Requirement
|
• Minimum 3 years of professional experience in AI Engineering, Machine Learning, Generative AI, or a related field.
• Hands-on experience developing and deploying AI solutions in production environments.
• Experience with enterprise software, SaaS, or business applications will be an advantage.
Key Qualifications:• Strong practical knowledge of Machine Learning, Deep Learning, Generative AI, and LLM technologies.
• Hands-on experience with RAG, prompt engineering, vector databases, and AI agents.
• Experience with computer vision and face recognition technologies is preferred.
• Proficiency in frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or similar tools.
• Experience with AI platforms such as AWS Bedrock, OpenAI, Google Gemini, or similar services is an advantage.
• Strong knowledge of APIs, cloud platforms, databases, and AI application integration.
• Understanding of MLOps, model deployment, monitoring, and version control.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
Programming Languages:• Python — Required
• JavaScript / TypeScript — Preferred
|
|
Experience
|
• At least 3 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service, Artificial Intelligence (AI) Startup
|
|
Responsibilities
|
We are seeking a skilled AI Engineer to design, develop, integrate, and deploy AI-powered solutions using Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). The role will focus on developing practical AI applications, including AI agents, RAG systems, intelligent automation, and computer vision solutions.Job Responsibilities:• Design, develop, and deploy Machine Learning, Deep Learning, and Generative AI solutions.
• Build AI-powered applications including LLM applications, chatbots, AI agents, recommendation systems, predictive analytics, and workflow automation.
• Develop and integrate LLM solutions using platforms and models such as GPT, Claude, Gemini, Llama, and Mistral.
• Design and implement Retrieval-Augmented Generation (RAG), prompt engineering, AI workflows, and vector database solutions.
• Develop Face Detection, Face Recognition, and Face Verification solutions.
• Collect, preprocess, and analyze data and perform feature engineering for AI models.
• Train, fine-tune, evaluate, and optimize AI models for accuracy and performance.
• Develop APIs and integrate AI solutions with web, mobile, and enterprise applications.
• Deploy and monitor AI solutions using cloud platforms and containerization technologies.
• Apply MLOps practices for model versioning, monitoring, retraining, and deployment.
• Ensure AI solutions are scalable, secure, reliable, and production-ready.
• Conduct POCs and evaluate emerging AI technologies for business applications.
• Work closely with Software Engineers, QA Engineers, Data Engineers, Product Managers, and business teams.
• Document AI models, architectures, workflows, and development processes.
|
|
Other Facilities
|
• Festival Bonuses
• Competitive Salary
• Yearly Salary Review
|
|
Application Deadline
|
23 September, 2026 (26 days left)
|
|
Published On
|
24 August, 2026 |
|
Apply Method
|
Corporate Inbox & Email |
|
