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Remote Senior AI Engineer (Generative AI)

at career

Posted 1 day ago 3 applied

Description:

  • The company is focused on improving AI workflows by automating repetitive tasks and enhancing productivity through their product, IrisGo.
  • They are seeking a Senior AI Engineer with extensive hands-on experience in developing products powered by Large Language Models (LLMs) and Generative AI technologies.
  • The role involves leading the design and development of advanced AI systems, from building prototypes to scaling production systems.
  • Responsibilities include architecting and implementing scalable AI systems, leading end-to-end development efforts, prototyping and deploying GenAI applications, contributing to decision-making around model selection and safety mechanisms, monitoring AI/ML performance, and staying updated on GenAI developments.

Requirements:

  • Candidates must have 4+ years of experience in ML or AI engineering roles, ideally with a focus on NLP or GenAI.
  • A deep understanding of modern LLMs, including transformer architectures, finetuning, and evaluation is required.
  • Hands-on experience with GenAI techniques such as tool/function calling, multi-agent workflows, and Retrieval-Augmented Generation (RAG) is essential.
  • Proficiency with GenAI frameworks and tools like LangChain, LlamaIndex, Hugging Face, and Haystack is necessary.
  • Experience integrating LLMs into real-world applications, including building internal tooling or customer-facing AI features, is required.
  • A solid foundation in full-stack development or backend systems, particularly with Python, TypeScript, and FastAPI, is needed.
  • Candidates should have experience designing and deploying scalable APIs and cloud infrastructure on platforms like AWS, GCP, or Azure.
  • Proficiency with databases such as PostgreSQL, MongoDB, or vector databases like Pinecone or Weaviate is required.
  • Comfort working in agile product teams and balancing experimentation with reliable code is essential.
  • Strong Git/GitHub collaboration skills and familiarity with CI/CD workflows and containerization (Docker) are necessary.

Benefits:

  • The position offers the opportunity to work in a small, innovative team focused on solving complex problems in AI and productivity.
  • Employees will have the chance to lead the development of cutting-edge AI systems and contribute to meaningful user-focused applications.
  • The role allows for continuous learning and staying at the forefront of Generative AI developments.
  • The company supports remote work, providing flexibility in the work environment.
  • There are opportunities for professional growth and the chance to make a significant impact in the field of human-computer interaction.