CodeRabbit

An innovative technology company is seeking an Enterprise Solutions Engineer to serve as a technical advisor for customers. The role involves collaborating with cross-functional teams to develop customized solutions and driving impactful presentations. Candidates should have extensive experience in customer-facing technical roles and strong skills in software development tools and cloud platforms. The position offers competitive salary and professional development opportunities.

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.

Join to apply for the DevOps Engineer role at CodeRabbit Base pay range $160,000.00/yr - $215,000.00/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 a DevOps Engineer at CodeRabbit, you'll play a key role in scaling, securing, and hardening the infrastructure that powers our AI enabled developer tools. You'll work closely with our platform engineers, backend team, and applied AI teams to ensure that our systems are resilient, observable, fast, and easy to deploy. This is a hands on, IC focused role for someone who thrives in fast paced environments, takes ownership of critical infrastructure, and wants to build tooling that unblocks an ambitious engineering team. Responsibilities , implement, and maintain scalable CI/CD pipelines Develop and manage infrastructure as code (e.g., Terraform, Pulumi) Improve system reliability through monitoring, alerting, logging, and fail over strategies Work with platform and backend teams to identify and resolve performance bottlenecks Contribute to deployment workflows, environment automation, and developer tooling Ensure infrastructure security and compliance practices are in place Qualifications Education: Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience Experience: 3 - 5 years of experience in a DevOps, Infrastructure, or SRE role at a fast paced tech company or startup Tooling: Expert level proficiency with CI/CD systems (GitHub Actions, ArgoCD, etc.), Docker, and Kubernetes Infrastructure: Expert with cloud providers (AWS/GCP), distributed systems architecture and implementation, IaC tools (Terraform, Pulumi), and secrets management (Vault, SSM, etc.) Observability: Strong understanding of logging, metrics, and monitoring in large scale distributed systems (e.g., Grafana, Prometheus, ELK, Datadog) Collaboration: Effective at partnering with backend and ML teams to deliver stable, high velocity systems Security: Experience building with best practices in cloud and application level security Bonus Points Experience supporting AI or ML workloads in production Experience with episodic environments and preview deployments Contributions to internal platform tools or DevOps open source projects Past ownership of high uptime systems or regulated environments Why Join Us? Build the Future: We're redefining code review with AI. You'll help shape a new development paradigm with cutting edge technology that has real world impact. Real Ownership: Every engineer at CodeRabbit owns projects end to end - from proposal to production. Collaborative & Innovative Environment: Join a tight knit team of engineers, designers, and researchers who are passionate about building transformative products. Professional Growth: We invest in our people - through mentorship, responsibility, and development opportunities. Competitive Compensation: We offer a strong salary, equity, and benefits package. Hybrid Work Culture: We collaborate in person in the Bay Area weekly, 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 Apply Now - If you're passionate about building high impact infrastructure and enabling AI powered developer experiences, we'd love to hear from you. Compensation Range: $160,000 - $215,000

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 a Software Engineer at CodeRabbit, you'll be contributing to the development of advanced applied AI systems that revolutionize code review processes. You'll work at the intersection of intelligent systems and software engineering, creating tools that empower developers to iterate rapidly in complex environments. Your expertise will be crucial in developing solutions that enhance code quality, scalability, and developer productivity. You'll help architect and build core backend systems - the infrastructure that powers our AI agent workflows, context enriched code reviews, repo level planning tools, and dashboard interfaces. You'll work alongside AI researchers, infra specialists, frontend engineers, and product thinkers to build reliable, intelligent backend systems that power our developer tools at scale. Responsibilities Architect and build scalable backend services, APIs, and distributed systems Collaborate with ML engineers to integrate models into agent based systems and AI products involving autonomous or task driven agents Guide junior engineers through mentorship and technical reviews Own architectural decisions in new product features Ensure reliability, performance, and security across systems Contribute to an engineering culture of speed, quality, and pragmatic innovation Qualifications Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Experience: 3 - 5 years of experience building backend systems and distributed infrastructure Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with microservices, async job queues, and event driven architectures Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows Product Mindset: Thoughtful about trade offs, user experience, and fast iteration Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager Bonus Points Experience with code search, code graphs, tree sitter, or static analysis tools, and an understanding of how to apply them in real world engineering environments Experience integrating AI/LLM based systems into product workflows Contributions to open source or community projects Experience designing or implementing agent based systems or AI products involving autonomous or task driven agents Why Join Us? Build the Future: We're redefining code review with AI. You'll help shape a new development paradigm with cutting edge technology that has real world impact. Real Ownership: Every engineer at CodeRabbit owns projects end to end - from proposal to production. Collaborative & Innovative Environment: Join a tight knit team of engineers, designers, and researchers who are passionate about building transformative products. Professional Growth: We invest in our people - through mentorship, responsibility, and development opportunities. Competitive Compensation: We offer a strong salary, equity, and benefits package. Hybrid Work Culture: We collaborate in person in the Bay Area weekly, 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 Apply Now If you're excited to build tools that blend intelligent systems with world class software engineering, we'd love to meet you. Compensation Range: $145K - $175K

An innovative research and development firm in San Francisco seeks a Software Engineer to develop AI-driven tools for enhancing code review processes. You will work on scalable backend systems and integrate machine learning models into products. Candidates should have a degree in a relevant field and 3-5 years of system development experience, particularly in TypeScript and Node.js. This role offers competitive salary, equity, and a hybrid work culture.

An innovative tech company in San Francisco is seeking a DevOps Engineer to enhance their AI-driven development tools. The role focuses on scaling and securing infrastructure, developing CI/CD pipelines, and improving system reliability. Candidates should have 3-5 years of experience, expertise in Docker and Kubernetes, and a background in cloud platforms. Competitive salary ranges from $160,000 to $215,000 annually, with a hybrid work culture that fosters collaboration and offers professional growth opportunities.

A cutting-edge technology company in San Francisco is looking for a Solutions Engineer to serve as a technical advisor for customers. In this role, you will work closely with Sales, Product, and Engineering teams to ensure customer success with AI-powered solutions. The ideal candidate has over 2 years of experience in a customer-facing technical role and possesses excellent communication skills. This is an exciting opportunity to make a significant impact in a collaborative and fast-paced environment.

Get AI-powered advice on this job and more exclusive features. This range is provided by CodeRabbit. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. 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 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 Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Software Development Base pay range for this role is $200k-275k. Actual salary will be based on job related skills, experience, and location. Apply Now - If you're excited to push the frontier of applied AI with practical impact, we'd love to meet you.