Senior Full Stack Software Engineer

6 days ago

Washington, Washington, D.C., United States YO HR CONSULTANCY Full time
Job Opportunity

**About the Role**

YO HR CONSULTANCY is seeking a highly skilled Senior Full Stack Software Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and deploying AI applications that integrate with Google Vertex, Microsoft OpenAI Azure, and other Large Language Model (LLM) suites.

Key Responsibilities:

  • Design and develop AI applications that leverage LLMs and Generative AI models, ensuring seamless integration with Google Vertex and Microsoft OpenAI Azure.
  • Collaborate with cross-functional teams to define requirements, manage user expectations, and deliver high-quality AI solutions that meet business objectives.
  • Develop and maintain API endpoints, front-end features, and full-stack applications that utilize LLMs and Generative AI models.
  • Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent.
  • Integrate analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrations.
  • Mentor, motivate, and develop the technical capabilities of the existing engineering team.
  • Stay up-to-date with emerging trends and advancements in Generative AI, LLMs, and related technologies.

Requirements:

  • 8+ years of experience in full-stack software development, with a strong focus on building enterprise-scale distributed and cloud or hybrid-cloud applications.
  • Regarded as an expert in the growing field of AI with 5+ years of experience developing AI solutions and prototypes, including Generative AI and LLMs.
  • Experience with PyTorch, TensorFlow, ONNX, LangChain, Kubernetes, and Docker.
  • Deep understanding of AI frameworks including Huggingface, semantic search, RAG, LLM agents, AgentGPT, orchestration, plugins, and LLM Ops.
  • Experience with Retrieval-Augmented Generation (RAG) architectures or frameworks like Langchain for building LLM-powered applications.
  • Proficiency in programming languages such as Python, Java, JavaScript, and experience with frameworks like React and Angular.
  • Experience with cloud platforms such as Google Vertex, Microsoft OpenAI Azure, AWS, and Azure, using various solutions for developing integrations, APIs, and AI/ML applications.

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