Sr Software Engineer - GenAI & LLM Applicatoin
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Job Description
Job Description
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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