Gen AI Engineer — Next-Gen Code Review Tools (Hybrid)

CodeRabbit; San Francisco (CA); Hybrid; USD 200,000 - 275,000; Full time

Benefits offered by this job

Competitive salary

Equity and benefits package

Professional growth opportunities

Collaborative work environment

Hybrid work culture

Job summary

An innovative research and development company in San Francisco is seeking an Applied Gen AI Engineer to design and deploy advanced generative AI systems. You will be critical in integrating cutting-edge techniques into high-impact workflows. The ideal candidate has robust programming skills in TypeScript and Python, along with experience in generative AI. This role offers competitive compensation and a hybrid work culture.

Qualifications

• 3+ years applying ML or LLM-based systems in real-world production environments.
• At least 2 years of industry experience focused on generative AI.
• Experience with optimizing RAG systems and behavioral policy tuning in LLMs.

Responsibilities

• Design and optimize LLM-based systems for high-quality code reviews.
• Build agentic workflows reasoning across multiple steps and contexts.
• Deploy generative AI models into production and monitor performance.

Skills

Strong programming skills in TypeScript

Strong programming skills in Python

Prompt engineering

Data fluency

Cross-functional collaboration

Education

Degree in Computer Science, Engineering, or AI

Tools

LangChain

LlamaIndex

OpenAI APIs

Pinecone

Lancedb

Job description

An innovative research and development company in San Francisco is seeking an Applied Gen AI Engineer to design and deploy advanced generative AI systems. You will be critical in integrating cutting-edge techniques into high-impact workflows. The ideal candidate has robust programming skills in TypeScript and Python, along with experience in generative AI. This role offers competitive compensation and a hybrid work culture.