About the role

  • Design, develop, test, and deploy AI-based applications leveraging large language models (GPT, Gemini, open-source models).
  • Develop AI/ML models and intelligent automation processes as needed.
  • Design and implement scalable, robust AI systems using agents or LLMs for tasks like generation, summarization, QA, sentiment analysis.
  • Optimize performance, accuracy, and reliability of AI systems using state-of-the-art techniques.
  • Conduct code reviews, testing, debugging, and documentation.
  • Deploy and monitor AI systems in production and ensure availability and reliability.
  • Collaborate with product managers, data scientists, and customers to gather requirements and deliver solutions.
  • Research and evaluate new technologies and LLM trends and propose innovative solutions.

Requirements

  • Master's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • At least 5 years of experience in software development, preferably in AI or natural language processing.
  • Proficient in Python and SQL.
  • Built at least 1-2 generative AI projects in the last 18 months using frameworks such as LangChain and LlamaIndex.
  • Hands-on experience with large language models and agents such as GPT-4, Gemini, Llama, Mistral.
  • Strong knowledge of natural language processing concepts (tokenization, embedding, attention, transformers).
  • Experience with Pandas and/or polars; PyTorch experience desired.
  • Experience with big data technologies such as PySpark.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud and their AI services.
  • Experience with agile development methodologies and tools such as Azure DevOps or Git.
  • Excellent communication, collaboration, and problem-solving skills.

Benefits

  • Hybrid work arrangement

Job title

AI Full Stack Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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