Senior GenAI Engineer (Python)

TL;DR

Senior GenAI Engineer (Python): Building and deploying scalable enterprise GenAI solutions and agent-driven workflows with an accent on LLM integration, RAG systems, and cloud-native architecture. Focus on optimizing model performance, designing robust backend services, and leading technical development within a fast-paced startup environment.

Location: Must be based in or able to work from Palo Alto, CA (Hybrid)

Company

An innovative AI startup transforming professional services through agent-driven automation and deep domain expertise.

What you will do

• Build enterprise-grade GenAI platforms leveraging LLMs and modern frameworks.
• Design and implement robust cloud-native solutions, specifically within the Azure ecosystem.
• Drive full-stack development from initial concept through to production deployment.
• Fine-tune LLMs, enhance data retrieval pipelines, and optimize prompt engineering.
• Collaborate with cross-functional teams to align technical solutions with business requirements.
• Mentor junior developers to foster technical growth and team excellence.

Requirements

• 6+ years of professional Python development experience.
• 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.
• Advanced proficiency in Python and data libraries like PyTorch, Pandas, or NumPy.
• Experience with LLMs from providers like OpenAI, Anthropic, Google, or Meta.
• Familiarity with GenAI frameworks such as LangChain or Semantic Kernel.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Culture & Benefits

• Competitive compensation package tailored to experience.
• Flexible hybrid working model to support work-life balance.
• Clear opportunities for professional development and leadership growth.
• Impactful work on transformative technologies within the AI space.