Role and Responsibilities

• Lead the development and deployment efforts of LLM-based enterprise applications, such as chatbots on company data.
• Contribute to product roadmap and vision.
• Implement and evaluate various LLM application logic (“flows”) and prompting strategies and stay up to date with the latest advancements in this field.
• Collaborate with other data scientists, software engineers, and product managers to deliver high-quality solutions.
• Interact with business stakeholders to gather feedback and tailor solutions to business needs.

Required Skills

• 12+ years of experience in software engineering, machine learning, data science, or artificial intelligence.
• Technical leadership and ownership of the software development life cycle.
• Expertise developing (e.g. using Flask or FastAPI), deploying, and maintaining APIS.
• Strong proficiency in Python and JavaScript/TypeScript.
• Significant experience with LLM orchestration tools such as LangChain, Semantic Kernel, or Llama Index.
• Strong adherence to software best practices in team settings, including version control (Git), CI/CD, documentation, & unit testing.
• Experience using common NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy.
• Hands-on experience with LLM skills including prompt engineering, fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG).
• Exposure to Microsoft Azure or similar cloud computing ecosystem.
• Experience with DevOps/MLOps/LLMOps.
• Excellent written and verbal communication and presentation skills.
• Ability to work independently and in a team to work productively with business stakeholders.

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