AI Jobs

Experience Requirements:

• 3년 이상의 SW 개발 경력을 갖추신 분

• 컴퓨터 공학 전공자 혹은 이에 준하는 이론 지식을 갖추신 분

Responsibilities:

• AI Solution 을 활용한 Inference 서비스 개발

• PACS 연동 및 Gateway 개발

• Worklist GUI 개발

Experience Requirements:

• 경력 0~3년

Responsibilities:

• 기술 문제 발생 시 신속한 분석 및 해결

• 의료기관 및 파트너와의 기술 요구사항 조율 및 협업

• 사용자 피드백 수집 및 분석을 통한 제품 개선

• DICOM 프로토콜을 활용한 PACS 연동 등 설치 프로세스 설계 및 최적화

• 기술 문서 작성 및 관리 (예: 설치 매뉴얼, H/W & S/W 스펙, DICOM conformance statement 등)

Education Requirements:

• Bachelor's or Master's degree in a relevant field (e.g., Environmental Science, Computer Science, Data Science, Engineering, or related field).

Experience Requirements:

• Proven experience in a solutions architect, technical sales, and/or technical account management roles in enterprise software companies (AI, geospatial, data infrastructure preferred).

Responsibilities:

• Contribute to the development of complex subsystems, own the development of moderately complex subsystems, or own the development of simple systems under the direction of a technical lead

• Design schematics, evaluate components, direct board layout, conduct design reviews and draft design documentations

• Manage bring up and debug, support manufacturing and assembly build

• Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, sensors, haptics, firmware and software

• Evaluate vendor reference design and transform these into custom solutions which meet product and form factor constraints

Benefits:

• Cafeteria system

• Clear terms

• Flexible hours

• Free drinks and snacks

• Private health care Remote work

Education Requirements:

• Master's degree in Computer Science, Mathematics, Physics, or a related field, or equivalent experience

Experience Requirements:

• At least 2 years of experience in deploying ML models in production environments and implementing machine learning solutions, with a focus on practical applications

Other Requirements:

• AWS Certification

• Knowledge of cloud-based data engineering solutions, such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow

• Domain expertise in one or more industries, such as edtech, pharma, fintech, retail, and experience in applying ML solutions in those domains

• Experience in at least one deep learning framework: Pytorch, TensorFlow / Keras

• Demonstrated experience in working with large-scale tabular data that exceeds memory limits

• Fair amount of hours spent with DBT, SQL and data warehouses

• Previous exposure to business - communicating with stakeholders, gathering requirements for the project, demonstrating project outcomes to clients, supporting decision-making processes in non-tech companies or similar activities

• Personal projects, hackathons, summer schools, volunteering, applying ML to your hobby or other initiatives related to AI

Responsibilities:

• driving value-focused AI projects

• shaping our evolving tech stack

• creating optimized processes for implementing ML models and monitoring them in a production environment

• work with clients to help them do this and build their internal expertise

Experience Requirements:

• 7+ years of proven experience with high-quality infrastructure solutions in a collaborative environment including coding standards, code reviews, source control management, build processes, testing, and operations experience

• 3+ years of experience building infrastructure solutions in at least one major cloud provider (AWS, Azure, or GCP)

• Expert proficiency in Kubernetes. Experience in building and running software systems on Kubernetes clusters in production

• Expert proficiency in Kubernetes architecture and operations including resource management scheduling, auto-scaling and cluster networking

• Hands-on experience with infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles

Responsibilities:

• Develop a fully-featured Kubernetes platform built around industry standards to improve developer experiences and enable self-service capabilities

• Work closely with internal application teams to improve their Kubernetes onboarding experience

• Work with app teams to understand their potential challenges and help them choose the best way to architect their systems on Kubernetes

• Design and implement new platform features to meet business and internal team goals

• Monitor and maintain the performance and reliability of the existing Kubernetes platform clusters, and identify and troubleshoot any issues that may arise

Benefits:

• Unlimited paid-time off under terms and conditions.

• Yearly salary review.

• 2 festival bonuses.

Experience Requirements:

• 2+ years of experience as a software engineer, preferably in software development company.

Responsibilities:

• Design and build new services and/or contribute to existing services that support our product.

• Collaborate with internal teams for building and/or tweaking services to solve interesting problems, support new use cases, while staying integral to our core purpose.

• Understand business requirements and implement them in code.

• Troubleshoot customer issues by diving deep into application logs and metrics.

• Follow best practices and conventions while writing code.

Benefits:

• Fast-paced Career Path

• Flexible & Remote Work

• Room to Grow

• Relocation Support

Experience Requirements:

• Minimum 5 years of software development experience, with at least 3 years focused on Rails.

Responsibilities:

• Develop and extend our crowdsourcing platform using Rails 6.x and 7.x.

• Apply test-driven development (TDD) best practices to ensure high-quality, maintainable code.

• Optimize, refactor, and develop backend components while researching and implementing best practices.

• Deliver across the entire development stack, focusing on backend development but with an understanding of frontend aspects.

• Work with messaging systems such as RabbitMQ to ensure efficient event-driven architectures.

Benefits:

• Fully remote

• Flexible PTO

• Tuition matching

• Equity options

• Comprehensive health, dental, and vision coverage

Benefits:

• Flexible Working

• Work from Anywhere

• Connection Budget

• Learning Budget - Study leave and an annual budget for you to put towards your learning and development.

Experience Requirements:

• Experienced people leader with a strong track record of mentoring, coaching, and developing high-performing data engineering teams.

• Previously worked as a Data Engineer and has hands-on experience in building and optimizing data platforms.

Responsibilities:

• Empower, mentor, and develop a data focused team, ensuring they perform at their best.

• Organise team work, set clear goals, and ensure accountability to successfully deliver data engineering projects.

• Lead the build of a modern, scalable data platform from scratch while maintaining and gradually decommissioning the legacy system.

Benefits:

• Flexible Working

• Work from Anywhere

• Conoce Mexico

• Connection Budget

• Learning Budget - Study leave and an annual budget for you to put towards your learning and development.

Experience Requirements:

• 5+ years of experience in IT security or cybersecurity engineering.

• Proficiency with SIEM tools (Sumo Logic) and SOC operations.

Responsibilities:

• Optimise and fine-tune SIEM rules, policies, and thresholds in collaboration with the MSSP.

• Lead incident response efforts, including containment, mitigation, and resolution.

• Conduct post-incident analysis, forensic investigations.

Benefits:

• Competitive salary

• equity

• benefits

• Professional development opportunities

Education Requirements:

• Degree in Computer Science, Engineering, Artificial Intelligence, or related field

Experience Requirements:

• 3-5 years of experience in software engineering with excellent software engineering practices

• Experience working with distributed systems, high-performance computing, and systems/infrastructure

• Experience with code search, code graphs, tree-sitter, and static analysis tools, with a deep understanding of their application in real-world scenarios is preferred

• Experience with cloud computing platforms (AWS, GCP, or Azure)

Responsibilities:

• Design and implement intelligent features for code analysis and review

• Integrate language models into software development workflows

• Develop scalable, efficient algorithm-driven software systems

• Participate in brainstorm , ideations and mentor team members

• Stay current with advancements in Generative AI and software engineering

Benefits:

• Competitive salary

• equity

• comprehensive benefits package

• Continuous learning and professional development opportunities

Education Requirements:

• Advanced degree in Computer Science, Engineering , AI, or a related field

Experience Requirements:

• 3+ years of experience in applied machine learning, with a focus on generative AI for a minimum 1 year.

• Demonstrated expertise in implementing RAG systems and Agentic flows, creating knowledge base, RHLHF tunings.

• Strong skills in prompt engineering for large language models

• Understanding of Gen AI Architecture and tools.

• Knowledge of software development practices and common programming languages

Responsibilities:

• Design and implement knowledge bases to improve code understanding and generation

• Develop and optimize Agentic flows for automated code review and refactoring

• Craft and refine prompts for various code-related tasks, ensuring high-quality AI-generated outputs

• Integrate Gen AI capabilities into our existing software development workflows

• Collaborate with cross-functional teams to align AI solutions with product goals with a need of supporting product engineering with customer facing features as needed as well.

Benefits:

• Competitive salary

• equity

• benefits

• Professional development opportunities

Experience Requirements:

• At least 5 years of experience as a Technical Writer, Developer Experience/Advocate Engineer, or related role

• Strong software development experience, particularly in areas related to version control, code review, and developer workflows.

• Proven track record of creating technical content for developer audiences

• Experience with Git, GitHub, and modern development practices

• Excellent written and verbal communication skills with ability to explain complex technical concepts clearly

Responsibilities:

• Create in-depth technical content including blog posts, tutorials, and documentation that showcase CodeRabbit's features like AST Grep rules, PR summaries, and 1-Click Suggestions

• Develop and maintain sample applications and demo repositories that illustrate best practices and real-world applications of CodeRabbit

• Write technical comparisons and benchmarks that demonstrate the advantages of AI-powered code review

• Create engaging social media content focused on developer education and community building

• Produce video content including product demos, technical deep-dives, and feature walkthroughs

Experience Requirements:

• 3+ years

Experience Requirements:

• 10+ years

Experience Requirements:

• 3+ years