Overview
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                                 Company Name: Softograph Ltd Company Name: Softograph Ltd
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                                 Department: Core Department: Core
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                                 Location: 
                                    Uttara, Dhaka Location: 
                                    Uttara, Dhaka
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                                 Job Type: 
                                    Full-time Job Type: 
                                    Full-time
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                                 Working Days: 
                                    05 days/week (10:00 AM - 06:00 PM) Working Days: 
                                    05 days/week (10:00 AM - 06:00 PM)
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                                 Salary Range: 
                                    Negotiable (based on experience, expertise) Salary Range: 
                                    Negotiable (based on experience, expertise)
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                                 Experience: 
                                    At least 2+ years of hands-on experience in AI/ML development. Experience: 
                                    At least 2+ years of hands-on experience in AI/ML development.
Role Overview
- Softograph Ltd is seeking a skilled and passionate AI Engineer to join our core AI team. This role is ideal for professionals with a strong foundation in AI and machine learning who want to work on cutting-edge projects and make a meaningful impact. If you have experience in developing AI-driven applications and optimizing machine learning models, we encourage you to apply.
Educational Qualification
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                                 Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.
Key Responsibilities
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                                 Design, develop, and optimize AI/ML models for real-world applications. Design, develop, and optimize AI/ML models for real-world applications.
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                                 Analyze PRD and TRD and design AI system architectures. Analyze PRD and TRD and design AI system architectures.
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                                 Process and analyze large-scale datasets to extract meaningful insights Process and analyze large-scale datasets to extract meaningful insights
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                                 Implement state-of-the-art deep learning architectures and algorithms. Implement state-of-the-art deep learning architectures and algorithms.
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                                 Collaborate with cross-functional teams to integrate AI solutions into products. Collaborate with cross-functional teams to integrate AI solutions into products.
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                                 Fine-tune and optimize existing models for performance and scalability. Fine-tune and optimize existing models for performance and scalability.
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                                 Deploy machine learning models into production environments using best practices. Deploy machine learning models into production environments using best practices.
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                                 Stay up to date with emerging AI technologies, frameworks, and research. Stay up to date with emerging AI technologies, frameworks, and research.
Skills & Requirements
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                                 Strong proficiency in Python and familiarity with R is a plus. Strong proficiency in Python and familiarity with R is a plus.
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                                 Hands-on experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, Ollama, and LangChain. Hands-on experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, Ollama, and LangChain.
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                                 Experience with NLP and Computer Vision. Familiarity with Generative AI is a plus. Experience with NLP and Computer Vision. Familiarity with Generative AI is a plus.
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                                 Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
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                                 Proficiency in working with SQL and NoSQL databases for AI-related tasks. Proficiency in working with SQL and NoSQL databases for AI-related tasks.
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                                 Experience in deploying AI models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Experience in deploying AI models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
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                                 Familiarity with MLOps tools and techniques for managing AI workflows. Familiarity with MLOps tools and techniques for managing AI workflows.
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                                 Ability to write clean, efficient, and well-documented code. Ability to write clean, efficient, and well-documented code.
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                                 Strong problem-solving skills and the ability to work independently as well as in a team. Strong problem-solving skills and the ability to work independently as well as in a team.
What You Will Gain:
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                                 Hands-on experience with large-scale AI projects in a professional setting. Hands-on experience with large-scale AI projects in a professional setting.
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                                 Opportunities to work on state-of-the-art AI technologies and frameworks. Opportunities to work on state-of-the-art AI technologies and frameworks.
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                                 Exposure to real-world AI applications across various domains. Exposure to real-world AI applications across various domains.
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                                 Career growth in a rapidly evolving AI-driven environment. Career growth in a rapidly evolving AI-driven environment.
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                                 Collaboration with an experienced team of AI engineers and researchers. Collaboration with an experienced team of AI engineers and researchers.
Compensation And Benefits
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                                 Annual Performance Evaluation and Increment. Annual Performance Evaluation and Increment.
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                                 Festival Bonuses (2). Festival Bonuses (2).
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                                 Partial Subsidized Lunch Facilities. Partial Subsidized Lunch Facilities.
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                                 Team Outings. Team Outings.
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                                 Training & Development by Organization-Assigned Consultants. Training & Development by Organization-Assigned Consultants.
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                                 Weekly 2 Holidays (Friday & Saturday). Weekly 2 Holidays (Friday & Saturday).
How to Apply:
- Interested candidates should submit their resumes along with a cover letter explaining their interest in the position to career@softograph.com. Please mention the job title “AI Engineer” as the email subject line. Applications must be submitted by October 20, 2025.