Staff Generative AI Engineer

Job summary

Design, build, and ship production-grade Generative and Agentic AI applications to deliver business value. Lead high-quality engineering practices and mentor junior to mid-level engineers while collaborating with cross-functional teams.

Job details

Background We are looking for a Staff Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services. As a senior individual contributor, you will bring deep technical expertise, drive high-quality engineering practices, and serve as a mentor for junior to mid-level engineers. You will work closely with software engineers, data scientists, and product teams to translate business problems into production-grade AI applications and services

What you’ll do

Design, build, and ship production-grade Generative and Agentic AI applications to deliver business value. Lead high-quality engineering practices and mentor junior to mid-level engineers while collaborating with cross-functional teams.

Requirements

Requires 10-15 years of software engineering experience, including 3-5 years in AI/ML software products. Must be proficient in Python and have hands-on experience with LLM APIs, agent frameworks, and cloud platforms.

Benefits

• Bonus • Incentives

Listed skills

• Software · Preferred
• Production · Preferred
• Technical · Preferred
• Organization · Preferred
• Attention to detail · Preferred
• staff · Preferred
• Teams · Preferred
• Engineering Practices · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Generative AI
• Agentic AI
• Python
• LLM Integration
• Prompt Engineering
• Azure OpenAI
• Vertex AI
• AWS Bedrock
• LangChain
• LangGraph
• Vector Databases
• Google Cloud Platform
• Amazon Web Services
• Azure
• Distributed Systems
• Cloud-Native Architecture

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research