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Gigalogy

B2B AI platform delivering e-commerce personalization

Software Engineer – AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeDhaka, BangladeshBDT50k - BDT120k /mo

About the Job

Requirements

  • A bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field is required.
  • At least 3 years of software engineering experience, including at least 1 year of hands-on experience in artificial intelligence and machine learning, is required.
  • A strong understanding of generative artificial intelligence is required, including large language models, transformer architectures, embeddings, prompting, retrieval, and fine-tuning methods.
  • Hands-on experience applying foundation models such as OpenAI, open-source large language models, or other generative artificial intelligence systems is required.
  • Experience running benchmarks and evaluations across multiple models using defined metrics is required.
  • Practical knowledge of fine-tuning, instruction tuning, parameter-efficient tuning, or related techniques is required.
  • Strong Python programming skills and familiarity with modern machine learning and artificial intelligence frameworks are required.
  • Experience with PyTorch, Hugging Face, LangChain or LlamaIndex, vector databases, and model evaluation frameworks is required.
  • The ability to work independently and drive experiments from concept to conclusion is required.
  • Strong analytical thinking and problem-solving skills are required.
  • Excellent communication skills and the ability to work closely with senior leadership are required.

Responsibilities

  • Work directly with the CEO on developing and improving Maira-2, the company's flagship artificial intelligence model.
  • Research, evaluate, and apply generative artificial intelligence models across a variety of use cases.
  • Run benchmarks across different large language models 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 artificial intelligence solutions.
  • Stay current with developments in large language models, 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.

Desired Qualifications

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

About the Company

Gigalogy

B2B AI platform delivering e-commerce personalization

Gigalogy delivers AI-powered tools for e-commerce through a subscription model with no setup costs. Its GAIP platform automates building AI features like Personalizer, Maira, G-Core, and SmartAds to enhance user experience. The tech stack uses computer vision, natural language processing, and recommendation engines for personalized search, image-based recommendations, and dynamic pricing. It aims to democratize AI for small and mid-sized businesses with an affordable, turnkey solution that covers data-to-deployment and improves customer engagement and loyalty.

Company size
51-200
Company stage
Seed
Total funding
$370K
Headquarters
Ramat Gan, Israel
Founded
2009

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