AI Jobs

Benefits:

• Offers Equity

Experience Requirements:

• Cloud security experience in AWS and GCP environments

• Hands-on experience with firewalls, SIEM tools, and scanners

• Proficiency in risk assessment and threat evaluation

• Strong networking knowledge (TCP/IP, protocols)

• Ability to code/script (Python, Elixir, etc.) to automate processes

Other Requirements:

• Self-motivated contributor with excellent communication skills

• Ability to translate complex concepts for technical and business audiences

• Bridge builder across teams

Responsibilities:

• Design and implement security strategies and policies

• Lead security assessments and penetration tests

• Monitor systems, networks, and logs for breaches

• Oversight of compliance standards (SOC2, HIPAA, ISO 27001, GDPR)

• Conduct security awareness training sessions

Benefits:

• Competitive Salary & Meaningful Equity

• Full Medical, Dental, and Vision Benefits

• 20-days of Paid Time Off

• 16 weeks of paid Parental Leave

• Twice-a-year company retreats

Experience Requirements:

• At least 5 years of experience applying AI/ML research to build and ship production-grade products

• Strong software engineering background

• Experience in fine-tuning and deploying large language models and predictive systems

• Adept at prompt engineering

Other Requirements:

• Comfortable building scalable data-driven feedback loops

• Thrive in a fast-paced environment

• Based in the U.S. or Canada

• Warp Hiring Challenge (optional)

Responsibilities:

• Design, build, and deploy predictive AI features

• Leverage Warp’s user-generated content and team data to refine AI prediction

• Drive improvements in code generation quality

• Implement and iterate specialized agents

• Optimize AI models through fine-tuning and prompt engineering

Experience Requirements:

• At least 3 Year(s) of working experience in the related field

• Proven work experience as a WordPress Developer

• Strong understanding of PHP back-end development

• Experience with eCommerce systems which include WooCommerce

• Experience designing and developing responsive design websites

Other Requirements:

• Knowledge of CSS3, JavaScript, HTML5, and jQuery

• Familiar with Third Party API Integration

• Knowledge of how to interact with RESTful APIs and formats (JSON, XML)

• Required languages: English

• Ability to manage multiple projects and deadlines simultaneously

Responsibilities:

• Generating WordPress themes and plugins

• Designing and managing the website back-end including database and server integration

• Designing and building the website front-end

• Debug, maintain and enhance the web application robustness, performance, and reliability

• Helping formulate an effective, responsive design and turning it into a working theme and plugin

Education Requirements:

• Bachelor’s Degree in Computer Science/Information Technology or equivalent

Experience Requirements:

• Portfolio demonstrating user-centric responsive website design

• Experience with version control tools such as Git

Other Requirements:

• Applicants must be willing to work in IOI Boulevard, Puchong

• Able to commit a minimum of six months duration

• Passion for building User Interfaces and Applications

• A solid understanding of design, color and typography principles

Responsibilities:

• Involved in web development and maintenance

• Write well designed, testable, efficient code

• Create website layout/user interface using standard HTML/CSS practices

• Maintaining, expanding, and scaling our site

• Cooperate with web designers to match visual design intent

Experience Requirements:

• Experience in HTML, JavaScript and CSS

• Experience with Bootstrap Framework or CSS GRID system

• Experience in JavaScript frameworks such as VueJs, React, Angular

• Experience in debugging using JavaScript-based tools like Chrome Developer Console

Other Requirements:

• Understanding of client-side scripting

• Understanding of REST API integration

• Understanding of code versioning tools such as Git

• Team player with excellent communication skills

• Passionate to learn

Benefits:

• Collaborative and fun culture

• Opportunity to shape things and see the company grow

• Build breakthrough AI technology

• Work with experts from MIT, Microsoft Research, Google, etc.

• Focus on health, passion, and satisfaction

Experience Requirements:

• 3-5 years of professional experience in software development

• Proven ability to work backwards from customer needs to deliver AI features

• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)

• Solid understanding of machine learning principles

• Experience with container frameworks such as Docker or Kubernetes

Other Requirements:

• Proficiency in using REST APIs

• Smart, humble, hardworking, and collaborative traits

• Disciplined, professional, focused, gritty, resilient, and resourceful

• Strong beliefs weakly held

Responsibilities:

• Measure and ensure the high-quality output of AI workloads

• Deploy and manage production workloads for a global customer base

• Write, rewrite, and extend Python code and deploy to containers

• Perform prompt engineering for customer use cases

• Fine-tune and deploy Large Language Models (LLMs)

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years of experience in Data Engineering or Backend Engineering

• Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL

• Proficiency with at least one modern cloud provider (GCP, AWS, Azure)

• Experience building systems for structured and unstructured data types

• Knowledge of Terraform, Kubernetes, and containerization

Other Requirements:

• Familiarity with deploying ML models at scale a bonus

Responsibilities:

• Build and maintain scalable data services, pipelines and storage solutions

• Build and manage OLAP databases, ELTs and general data tooling

• Optimize data infrastructure for throughput, latency and reliability

• Investigate and correct issues identified through data operations monitors

• Design data integrations and data quality framework

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 3 - 6+ years as a manager in rapidly growing organizations

• At least 1 year as a manager of managers

• Track record of leading performance engineering (load test and chaos engineering)

• Experience running production workloads in more than one cloud provider

• Experience managing workloads across containerized solutions and Kubernetes

Responsibilities:

• Scope, resource, and execute a company-wide reliability and engineering velocity roadmap

• Work at the level of small tiger teams to unblock and drive execution

• Recruit top ICs and managers to scale the team

• Mentor senior engineering staff and develop their careers

• Establish and maintain a hivemind, de-siloed culture across pods

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience

• 3+ years of infrastructure-as-code experience

• Experience building on and scaling Kubernetes

• Experience creating and maintaining CI/CD pipelines (Terragrunt, Atlas, ArgoCD)

• Experience with monitoring and observability tooling (Grafana, Datadog)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Design, build, and scale cloud infrastructure (networking, IAM, K8s)

• Design and implement build pipelines and release management tooling

• Design, implement, and scale cloud security practices

• Improve observability, runbooks, and incident response muscle

• Bridge the gap between local development and production environments

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 8+ years of software engineering experience focused on distributed systems

• At least 2 years experience as a back-end engineer focused on performance

• Experience reducing latency through observability and profiling tools

• Experience building on and scaling Kubernetes

• Experience building software with backend languages (Python, GoLang, Node, Rust)

Other Requirements:

• Must be willing to travel up to 10%

Responsibilities:

• Identify and resolve performance and latency bottlenecks via load testing

• Drive software changes to rehome applications onto scalable infrastructure

• Identify and implement performance tuning parameters

• Build developer tools and software modules to help engineers build faster

• Work with application teams to establish and adopt SLOs and error budgets

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 5+ years as a software engineer

• 2+ years managing software engineering teams

• Experience in AI Infrastructure domain (LLM workflows, retrieval)

• Skilled in building secure systems in major cloud platforms (GCP preferred)

• Familiar with containers, databases, and modern frontend frameworks

Responsibilities:

• Recruit and mentor engineers with backgrounds in LLM-driven workflows

• Provide regular feedback and create career growth opportunities

• Work with ML/AI Research, Inference, and Data teams to support projects

• Guide architectural discussions and advocate for technology projects

• Set high standards for software quality and regulatory compliance

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• 10+ years of experience building high-performance distributed systems

• 5+ years of management experience

• 3+ years managing AI/ML-focused engineering teams

• Expertise with Kubernetes, containers, and model training/serving

• Knowledge of GPU-based capacity planning and LLM applications

Other Requirements:

• Bonus: Has owned an Evaluation Platform for AI/ML models

• Bonus: Has owned data engineering or core infrastructure

Responsibilities:

• Recruit, retain, and mentor engineers and engineering managers

• Own the staffing and execution of model serving and training compute

• Guide architectural discussions and set strategic AI/ML infra direction

• Own the design, build, and operation of MLOps pipelines

• Manage compute and vendor allocations (e.g. GPU allocation)

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• Experience building and deploying ML models in production

• Deep understanding of container orchestration and distributed systems

• Expertise in Kubernetes administration (CRDs, operators)

• Experience developing APIs and managing batch/real-time workloads

• Excellent communication skills for research/product engineering interface

Other Requirements:

• Bonus: Expertise with NVIDIA Triton Server, VLLM, TRT-LLM

• Bonus: Familiarity with GPU cluster management and CUDA optimization

Responsibilities:

• Design and maintain scalable Kubernetes clusters for inference/training

• Develop and optimize ML model serving and training infrastructure

• Collaborate with ML teams to scale backend infrastructure

• Optimize compute-heavy workflows and enhance GPU utilization

• Build a robust model API orchestration system

Benefits:

• 14 paid holidays

• Flexible PTO

• Medical, Dental, and Vision coverage

• Monthly HSA contributions

• Paid Parental Leave

Experience Requirements:

• Experience building agent applications with tool-calling

• Fluency with LLM APIs and prompting strategies (LangChain, LlamaIndex)

• Experience with retrieval systems (semantic retrieval, vector DBs)

• Strong coding skills in Python, Java, or Go

• Working knowledge of containers and Kubernetes concepts

Other Requirements:

• Bonus: Prior work on task routing, planning, memory graphs, or vector search

Responsibilities:

• Design and build GenAI systems using retrieval and agentic reasoning

• Implement a highly reliable and scalable agent runtime

• Build secure, sandboxed execution for agent actions and code

• Ship unified interfaces for multiple model sizes and providers

• Develop an evaluation platform for assessment and safety checks

Benefits:

• Innovative culture

• Growth paths

• Learning & development annual discretionary stipend

• Social travel annual discretionary stipend

• Annual company offsite

Education Requirements:

• We do not require formal certifications or degrees

Experience Requirements:

• 2+ years of relevant experience improving developer productivity and tooling

• Strong expertise with modern developer tools (NextJS or similar frontend bundlers, CI/CD pipelines)

• Proven success in identifying and solving complex bottlenecks

Other Requirements:

• Structured and proactive mindset

• Capability of designing clear, intuitive, and sustainable workflows

Responsibilities:

• Diagnose and address bottlenecks in current developer workflows and tools

• Standardize local development setups and CI/CD pipelines

• Act as internal expert on modern tooling especially NextJS

• Optimize build performance

• Reduce flaky tests