Lead Generative AI Engineer

1 month ago

Plano, United States Ascentt Full time

Job Summary:

  • We are seeking a highly skilled and experienced Senior Generative AI Engineer to join our innovative team.
  • In this role, you will be responsible for designing, developing, and implementing advanced AI solutions using the latest frameworks and techniques in Generative AI.
  • You will work on cutting-edge projects involving LLM (Large Language Models), hybrid-retrievers, and natural language processing (NLP) applications.
  • The ideal candidate should have strong software development skills, cloud experience, and deep expertise in AI frameworks like LangChain, LangGraph, and more.
  • You will also collaborate with cross-functional teams to deliver high-impact solutions across a variety of domains.


Key Responsibilities:

  • Lead the design, development, and deployment of scalable AI models, focusing on Generative AI, NLP, and multimodal applications.
  • Architect and optimize solutions using frameworks like LangChain, LangGraph, and hybrid-retrievers to enhance system performance and accuracy.
  • Build, fine-tune, and maintain Large Language Models (LLMs), and develop effective strategies for integrating them into various applications.
  • Implement and experiment with retriever-augmented generation (RAG) techniques and vector stores for effective document and data retrieval.
  • Develop natural language interfaces and querying systems that enable seamless human-AI interaction.
  • Utilize transformers, GPT models, and other state-of-the-art architectures to push the boundaries of AI research and application.
  • Collaborate with data scientists, ML engineers, and cloud architects to integrate models into cloud-native infrastructures (AWS, Azure, GCP).
  • Design robust and efficient pipelines for AI model training, evaluation, and deployment in a CI/CD environment using Git for version control.
  • Mentor junior engineers and collaborate closely with cross-functional teams to ensure seamless project delivery.
  • Stay up-to-date with the latest advancements in Generative AI, NLP, and machine learning, and assess new frameworks and technologies for implementation.


Requirements:

  • Master’s or PhD degree in Computer Science, Mathematics, Machine Learning, or a related engineering field.
  • 5+ years of hands-on experience in software development, with expertise in AI/ML model development.
  • Proficiency in frameworks like LangChain, LlamaIndex, LangGraph, transformers, and hybrid-retrievers.
  • Strong cloud experience in AWS, Azure, or Google Cloud Platform (GCP), with a focus on scalable AI model deployment.
  • Hands-on experience with Git, CI/CD pipelines, and best practices in software engineering and code versioning.
  • Strong proficiency in programming languages such as Python.
  • Extensive experience working with LLMs (e.g., GPT-4, BERT) and fine-tuning them for various applications.
  • Familiarity with vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and advanced retrieval techniques.
  • Strong understanding of REST APIs, microservices architecture, and end-to-end AI application development.
  • Excellent problem-solving skills and the ability to work on complex technical challenges.
  • Experience working in agile environments and with cross-functional teams.


Bonus if you have:

  • Experience with LangChain for building complex LLM applications.
  • Experience with Databricks or Apache Spark for large-scale data processing.
  • Familiarity with multi-cloud strategies and designing AI solutions for hybrid cloud environments.
  • Experience with Docker and Kubernetes for containerized AI model deployment.
  • Strong communication and leadership skills, with the ability to drive projects from concept to completion.

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