AI Engineering Careers That Shape the Future
Build production AI systems for Fortune 500 companies and high-growth startups. We offer remote ML engineer and AI developer positions with top-tier compensation, meaningful work, and a culture built for senior technical talent.
Trusted by innovative teams
Why Join Procedure
Benefits Designed for Senior AI Engineers
Competitive compensation, flexible remote work, and continuous learning opportunities. Everything you need to do career-defining work on enterprise AI projects.
100% Remote Positions
Work from anywhere with a globally distributed team spanning 4 continents. Async-first communication means no mandatory meetings disrupting your focus time.
Top-Tier Compensation
Above-market salaries benchmarked against top tech companies, plus equity participation. We invest in talent that delivers enterprise-grade results.
$3,000 Learning Budget
Annual stipend for courses, conferences, and certifications. Stay current with AI advancements and earn credentials that accelerate your career trajectory.
Comprehensive Health Coverage
Full medical, dental, and vision insurance for you and your dependents. Plus a dedicated wellness stipend for gym memberships, mental health support, or whatever keeps you performing at your best.
Unlimited PTO Policy
Flexible time off with a minimum of 4 weeks encouraged annually. Sustainable performance requires genuine rest, and we trust senior professionals to manage their own schedules.
Enterprise AI Projects
Solve complex AI challenges for industry-leading clients. Direct access to cutting-edge models from OpenAI, Anthropic, and Google, plus the latest MLOps tooling and infrastructure.
Our Engineering Culture
The Values That Drive Our Work
A high-performance culture built on trust, technical excellence, and a shared commitment to delivering production AI systems that transform enterprises.
Production-First Engineering
Every system we build is designed for enterprise-scale production. Our engineers take pride in delivering AI solutions that handle millions of requests and meet the strictest SLAs.
Continuous Technical Growth
AI evolves rapidly, and so do we. Weekly knowledge sharing, dedicated learning time, and a culture of experimentation ensure you stay at the forefront of the industry.
Direct, Transparent Communication
We value candid feedback, thoughtful debate, and clear expectations. No politics or ambiguity, just honest collaboration focused on delivering exceptional results for our clients.
Ownership and Accountability
Senior engineers own their projects end-to-end. You will have the autonomy to make architectural decisions and the responsibility to deliver outcomes that drive real business impact.
Current Openings
Remote AI and Engineering Positions
All roles are fully remote with global hiring. We support engineers across every timezone and prioritize asynchronous collaboration.
Lead the development of production AI systems that power critical business operations for Fortune 500 clients. You will architect LLM integrations, RAG pipelines, and custom ML models that process millions of requests daily while maintaining enterprise-grade reliability.
What You'll Do
- Design and deploy production AI/ML systems serving enterprise workloads
- Architect LLM-powered applications with advanced RAG and agent frameworks
- Partner with client stakeholders to translate business requirements into technical solutions
- Mentor team members and establish engineering best practices through code reviews
What We're Looking For
- 5+ years of software engineering with production deployments
- 3+ years building ML/AI systems at scale
- Expert proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Google) and vector databases
Build intelligent web applications that bring AI capabilities to enterprise users. You will own the full stack, from pixel-perfect React interfaces to scalable Node.js APIs, creating products that transform how organizations leverage artificial intelligence.
What You'll Do
- Develop high-performance web applications using React, Next.js, and TypeScript
- Design and implement scalable RESTful and GraphQL APIs
- Integrate LLM and ML capabilities into intuitive user experiences
- Deliver production-ready code with comprehensive test coverage
What We're Looking For
- 4+ years of full-stack development with shipped production applications
- Expert-level React and TypeScript with modern patterns and best practices
- Strong backend experience with Node.js or Python API development
- Familiarity with CI/CD pipelines, containerization, and cloud deployment
Architect and operate the cloud infrastructure that powers enterprise AI systems. You will build resilient, cost-optimized platforms on AWS and GCP that handle GPU-intensive ML workloads with 99.9% uptime requirements.
What You'll Do
- Design and maintain production cloud infrastructure on AWS and GCP
- Build and optimize CI/CD pipelines for rapid, reliable deployments
- Manage Kubernetes clusters optimized for ML workloads and GPU scheduling
- Implement infrastructure as code using Terraform and GitOps workflows
What We're Looking For
- 4+ years of DevOps or Site Reliability Engineering experience
- Expert-level Kubernetes and container orchestration skills
- Deep proficiency with AWS or GCP services and architecture patterns
- Strong experience with Terraform, Ansible, or similar IaC tools
Own the complete ML lifecycle for mission-critical enterprise applications. You will design data pipelines, train and fine-tune models, and deploy inference systems that serve predictions at scale with sub-100ms latency requirements.
What You'll Do
- Build end-to-end ML pipelines from data ingestion to production serving
- Optimize model performance for inference latency and throughput
- Implement MLOps best practices including versioning, monitoring, and automated retraining
- Partner with data scientists to productionize research models
What We're Looking For
- 4+ years of ML engineering with production deployment experience
- Strong Python proficiency and deep expertise with PyTorch or TensorFlow
- Hands-on experience with ML platforms (Kubeflow, MLflow, SageMaker, or Vertex AI)
- Background in distributed computing and large-scale data processing
Drive complex AI engineering initiatives from discovery to production deployment. You will serve as the critical bridge between technical teams and enterprise stakeholders, ensuring projects deliver measurable business outcomes on time and within scope.
What You'll Do
- Lead end-to-end delivery of AI projects for enterprise clients
- Coordinate cross-functional engineering teams across multiple time zones
- Define project scope, milestones, and success metrics aligned with business objectives
- Proactively identify risks and implement mitigation strategies
What We're Looking For
- 5+ years of technical project management in software or consulting
- Demonstrated experience delivering AI/ML or complex software projects
- Strong command of agile methodologies and delivery frameworks
- Exceptional communication skills with technical and executive audiences
Design enterprise-grade AI architectures that deliver measurable ROI at scale. You will lead technical discovery with C-suite stakeholders, translate complex business requirements into robust technical solutions, and guide implementation across multi-million dollar engagements.
What You'll Do
- Design scalable, secure AI/ML architectures meeting enterprise compliance requirements
- Lead technical discovery sessions and solution design with client executives
- Author technical proposals, architecture documentation, and implementation roadmaps
- Provide architectural guidance and oversight to engineering teams throughout delivery
What We're Looking For
- 7+ years of software or solutions architecture experience
- Deep expertise in distributed systems and cloud-native architecture patterns
- Proven experience designing AI/ML systems for enterprise production environments
- Executive presence with strong client-facing communication and presentation skills
No Perfect Match? Let's Talk Anyway.
Exceptional AI talent is rare, and we are always building our pipeline. Submit your resume with a note about your ideal role, and we will reach out when the right opportunity emerges.