Asks for

The ad says“Strong understanding of Generative AI, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.”
The ad says“Strong understanding of Generative AI, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.”
The ad says“Strong understanding of Generative AI, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.”
The ad says“Experience with tools and libraries such as PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and model evaluation frameworks.”
The ad says“Experience with tools and libraries such as PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and model evaluation frameworks.”
The ad says“Strong understanding of Generative AI, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.”
The ad says“Experience with tools and libraries such as PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and model evaluation frameworks.”
The ad says“Strong understanding of Generative AI, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.”
The ad says“Strong programming skills in Python and familiarity with modern ML/AI frameworks.”
The ad says“Experience with tools and libraries such as PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and model evaluation frameworks.”
The ad says“Strong understanding of Generative AI, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.”
The ad says“Experience with tools and libraries such as PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and model evaluation frameworks.”

Company Description

Gigalogy is focused on transforming how businesses utilize Artificial Intelligence to enhance customer satisfaction. This vision is at the core of our product development process.

Our AI platform delivers turnkey solutions that can be seamlessly integrated into any application, ensuring minimal effort and maximum impact. We aim to revolutionize digital experiences by supporting companies in building a clear AI vision and long-term strategy.

We are looking for a Software Engineer – AI to join our team in Dhaka and contribute to the development of Maira-2 and other AI-powered product initiatives.

Job Description

Gigalogy is looking for a highly capable Software Engineer – AI to help build and advance Maira-2, our flagship model focused on delivering high accuracy at significantly lower cost. This role is ideal for someone who has strong hands-on experience with Generative AI, including evaluating foundation models, benchmarking performance, fine-tuning models, and applying them to real-world product and business problems.

You will work closely with our CEO and core technical team to shape model strategy, experiment with new approaches, and help bring efficient, production-ready AI capabilities into our platform.

Key Responsibilities

Work directly with the CEO on the development and improvement of Maira-2, Gigalogy’s flagship AI model.
Research, evaluate, and apply Generative AI models across a variety of use cases.
Run benchmarks across different LLMs and generative models to compare quality, latency, cost, and reliability.
Design and execute fine-tuning workflows to improve model performance for target tasks and domains.
Build experimentation frameworks for testing prompts, model architectures, datasets, and inference strategies.
Optimize models and pipelines for accuracy, efficiency, and lower operational cost.
Analyze model outputs and identify opportunities to improve precision, consistency, and scalability.
Collaborate with product, engineering, and leadership teams to translate business needs into AI solutions.
Stay current with the latest developments in LLMs, multimodal models, fine-tuning methods, evaluation frameworks, and model optimization techniques.
Support deployment of models into production environments with attention to performance, monitoring, and continuous improvement.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
3+ years of software engineering experience, including at least 1 year of hands-on experience in AI and machine learning.
Strong understanding of Generative AI, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.
Hands-on experience applying foundation models such as OpenAI, open-source LLMs, or other generative AI systems.
Experience running benchmarks and evaluations across multiple models using defined metrics.
Practical knowledge of fine-tuning, instruction tuning, parameter-efficient tuning, or related techniques.
Strong programming skills in Python and familiarity with modern ML/AI frameworks.
Experience with tools and libraries such as PyTorch, Hugging Face, LangChain/LlamaIndex, vector databases, and model evaluation frameworks.
Ability to work in a fast-paced environment and independently drive experiments from concept to conclusion.
Strong analytical thinking and problem-solving skills.
Excellent communication skills and ability to work closely with senior leadership.

Preferred Qualifications

Experience building or optimizing cost-efficient AI systems for production use.
Familiarity with inference optimization, quantization, distillation, caching, or model compression techniques.
Experience with RAG systems, data pipelines, and evaluation of retrieval quality.
Exposure to GPU-based training/inference workflows and cloud infrastructure.
Experience working in startups or highly iterative product environments.
Understanding of trade-offs between model quality, latency, and cost.

What Success Looks Like

You help advance Maira-2 into a model that delivers strong performance with superior cost efficiency.
You create reliable benchmarking processes that guide model and architecture decisions.
You identify practical ways to improve output quality while reducing inference and training costs.
You contribute directly to turning AI research and experimentation into scalable product capabilities.

Additional Information

What We Offer

An opportunity to work with a Tokyo-based startup and contribute to a truly innovative new AI-based service
Opportunity to work directly with the CEO on high-impact AI initiatives.
A meaningful role in building real-world AI products, not only prototypes.
A collaborative, people-focused work environment where contributions are visible and valued.
Salary range: BDT 50,000 – 120,000 per month (based on experience and assessment results)
Salary review: Twice a year
Performance bonus: Twice a year
Comprehensive health insurance
Complimentary meals and snacks
Working days: Sunday to Thursday(Hybrid)
Working hours: 9:00 AM – 6:00 PM (BDST)
Office location: 3rd & 4th Floor, House 1148, Road 9/A, Avenue 10, Mirpur DOHS, Dhaka-1216, Bangladesh.