Sr Machine Learning Engineer - GenAI & LLM Applicatoin - YO HR CONSULTANCY

Full Stack Engineer - GenAI LLM

Experience:

5 - 20 Years

Location: 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 / Stack

You 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

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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 Node.js

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