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Sr Artificial Intelligence Engineer

3 months ago

Toronto, Ontario, Canada YO HR CONSULTANCY Full time
Full Stack Engineer - GenAI LLMExperience: 5 - 20 YearsLocation: North America - Permanent Remote
Must-Have:- Experience with Microsoft OpenAI Azure or Google Vertex- Experience developing GenAI applications (doesn't have to be professional)- End-to-end full-stack application development- Experience developing API endpoints in Python or Java- Experience with PyTorch and/or TensorFlow- Experience working with multiple AI Frameworks (hugging face, semantic search, RAG, etc)
Platform / StackYou will work with technologies that include Microsoft OpenAI Azure, Google Vertex, PyTorch, and RAG Architecture.
What You'll Do As a Sr Software Engineer:
  • Architect, design, and develop AI applications, integrating 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
& Qualifications:You could be a great fit if you have:
  • 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