Senior AI Software Engineer

5 days ago


San Francisco, California, United States YO HR CONSULTANCY Full time
Job Title: Senior AI Software Engineer

At YO HR CONSULTANCY, we are seeking a highly skilled Senior AI Software Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and deploying AI-powered applications that drive business growth and innovation.

Key Responsibilities:
  • Architect and develop AI applications that integrate with Google Vertex, Microsoft OpenAI Azure, and other LLM suites
  • Design and implement effective prompts, configure LLM settings, and optimize performance through prompt crafting, RAG, fine-tuning, and other techniques
  • Collaborate with cross-functional teams to define requirements, manage user expectations, and deliver high-quality AI solutions
  • Develop and maintain API endpoints, front-end features, and full-stack applications that leverage 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
  • 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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