CodeRabbit
Applied Gen AI Engineer - All Levels
CodeRabbit, San Francisco, California, United States, 94199
Base pay range
$175,000.00/yr - $275,000.00/yr
About CodeRabbit CodeRabbit is an innovative research and development company focused on building extraordinarily productive human‑machine collaboration systems. Our primary goal is to create the next generation of Gen AI‑driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.
Role Overview As an Applied Gen AI Engineer at CodeRabbit, you’ll play a central role in designing, building, and deploying advanced generative AI systems that power our code review and developer productivity tools. You’ll be responsible for bringing the latest advancements in generative AI to life — integrating techniques like RAG, RLHF, and multi‑step agentic reasoning into high‑impact product workflows. You’ll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real‑world value, improving how developers write, review, and ship code.
Responsibilities
Design and optimize LLM‑based systems for high‑quality, context‑rich code reviews
Build and refine agentic workflows that reason across multiple steps and contexts
Develop and maintain knowledge base and retrieval pipelines (e.g., chunking, embeddings, semantic search)
Deploy generative AI models and pipelines into production and monitor performance
Collaborate across teams to ensure that AI outputs align with user needs and product goals
Analyze human‑in‑the‑loop feedback and usage data to iteratively improve system performance
Apply RLHF, ranking, and reward modeling techniques to improve response quality over time
Stay current with the latest generative AI developments and apply them to new use cases
Qualifications
Education: Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience
Experience: 3+ years applying ML or LLM‑based systems in real‑world production environments, with at least 2 years of industry experience focused on generative AI
Technical Skills: Strong programming skills in TypeScript and Python
AI Frameworks: Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb
Prompt Engineering: Strong skills in prompt engineering
Data Fluency: Ability to extract insight from telemetry, logs, user signals, and structured feedback
Practical Mindset: Comfortable applying research‑inspired methods to solve concrete product challenges
Cross‑Functional Collaboration: Experience working across product, engineering, and design to deliver production‑grade systems
Bonus Points
Experience optimizing RAG systems and tuning retrieval performance using custom embeddings or search strategies
Hands‑on experience with RLHF pipelines, reward modeling, or behavioral policy tuning in LLMs
Experience integrating LLM systems into developer tooling or collaborative workflows
Track record of contributions to open‑source projects or publications in applied AI/ML
Benefits and Why Join Us
Build the Future: Help shape a new development paradigm with cutting‑edge technology that has real‑world impact.
Real Ownership: Every engineer owns projects end‑to‑end — from proposal to production.
Collaborative & Innovative Environment: Join a tight‑knit team passionate about building transformative products.
Professional Growth: We invest in our people through mentorship, responsibility, and development opportunities.
Competitive Compensation: Strong salary, equity, and benefits package.
Hybrid Work Culture: Weekly in‑person collaboration with flexibility for heads‑down remote work.
Our Values
Collaborative Humans — Prioritizing collective intelligence
Fearless Innovators — Turning obstacles into growth opportunities
Persistent, Passionate Developers — Thriving on complex, long‑term challenges
Impact‑Driven Creators — Crafting intuitive tools for developers
Rapid Learners and Un‑learners — Adapting quickly in our fast‑paced technological world
#J-18808-Ljbffr
About CodeRabbit CodeRabbit is an innovative research and development company focused on building extraordinarily productive human‑machine collaboration systems. Our primary goal is to create the next generation of Gen AI‑driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.
Role Overview As an Applied Gen AI Engineer at CodeRabbit, you’ll play a central role in designing, building, and deploying advanced generative AI systems that power our code review and developer productivity tools. You’ll be responsible for bringing the latest advancements in generative AI to life — integrating techniques like RAG, RLHF, and multi‑step agentic reasoning into high‑impact product workflows. You’ll collaborate with engineers, product managers, and technical leads to iterate on intelligent systems that deliver real‑world value, improving how developers write, review, and ship code.
Responsibilities
Design and optimize LLM‑based systems for high‑quality, context‑rich code reviews
Build and refine agentic workflows that reason across multiple steps and contexts
Develop and maintain knowledge base and retrieval pipelines (e.g., chunking, embeddings, semantic search)
Deploy generative AI models and pipelines into production and monitor performance
Collaborate across teams to ensure that AI outputs align with user needs and product goals
Analyze human‑in‑the‑loop feedback and usage data to iteratively improve system performance
Apply RLHF, ranking, and reward modeling techniques to improve response quality over time
Stay current with the latest generative AI developments and apply them to new use cases
Qualifications
Education: Degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience
Experience: 3+ years applying ML or LLM‑based systems in real‑world production environments, with at least 2 years of industry experience focused on generative AI
Technical Skills: Strong programming skills in TypeScript and Python
AI Frameworks: Experience with tooling such as LangChain, LlamaIndex, OpenAI APIs, or vector databases like Pinecone or Lancedb
Prompt Engineering: Strong skills in prompt engineering
Data Fluency: Ability to extract insight from telemetry, logs, user signals, and structured feedback
Practical Mindset: Comfortable applying research‑inspired methods to solve concrete product challenges
Cross‑Functional Collaboration: Experience working across product, engineering, and design to deliver production‑grade systems
Bonus Points
Experience optimizing RAG systems and tuning retrieval performance using custom embeddings or search strategies
Hands‑on experience with RLHF pipelines, reward modeling, or behavioral policy tuning in LLMs
Experience integrating LLM systems into developer tooling or collaborative workflows
Track record of contributions to open‑source projects or publications in applied AI/ML
Benefits and Why Join Us
Build the Future: Help shape a new development paradigm with cutting‑edge technology that has real‑world impact.
Real Ownership: Every engineer owns projects end‑to‑end — from proposal to production.
Collaborative & Innovative Environment: Join a tight‑knit team passionate about building transformative products.
Professional Growth: We invest in our people through mentorship, responsibility, and development opportunities.
Competitive Compensation: Strong salary, equity, and benefits package.
Hybrid Work Culture: Weekly in‑person collaboration with flexibility for heads‑down remote work.
Our Values
Collaborative Humans — Prioritizing collective intelligence
Fearless Innovators — Turning obstacles into growth opportunities
Persistent, Passionate Developers — Thriving on complex, long‑term challenges
Impact‑Driven Creators — Crafting intuitive tools for developers
Rapid Learners and Un‑learners — Adapting quickly in our fast‑paced technological world
#J-18808-Ljbffr