AI Cloud Architect Jobs

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.

Our client, an AI-driven healthcare organization, are hiring a Founding Product Engineer to join their team in New York. The successful candidate will become a key member of an early-stage team, taking ownership of high-impact initiatives and delivering end-to-end features relied upon daily by hundreds of thousands of clinicians and healthcare operators.


Responsibilities

• Design, build and deploy AI-powered features, including intelligent agents that audit medical records and flag issues that may jeopardize treatment approval.

• Take full ownership of projects from discovery and requirements through to deployment and iteration.

• Deliver high-quality solutions while leveraging a fast, reliable CI/CD pipeline to ship with confidence.

• Identify workflow bottlenecks by working closely with users.

• Measure impact through back-office time saved, improved case review accuracy and increased treatment approvals.

• Contribute to and shape engineering culture, influencing architecture decisions, tooling, code review standards and team practices.

Skillset

• At least 2 years of product engineering experience, preferably in an early-stage environment.

• Strong proficiency in TypeScript and React, with the ability to confidently work across complex codebases.

• Solid experience with SQL and relational databases, including writing efficient queries, designing well-structured schemas and applying sound data modelling principles.

• Experience with AI-native development, including shipping production LLM-powered features, prompt engineering, tool integration and retrieval-augmented generation (RAG).

• Demonstrated systems thinking, with a clear understanding of cloud tooling and architecture, and the ability to evaluate technical trade-offs effectively.

Benefits

• Salary: $150k - $180k.

• Equity.

• Health, dental and vision insurance.

• 401(k).

Our client, an exciting Healthtech startup, are hiring a Founding Engineer to join their team in San Francisco. The successful candidate will collaborate closely with medical teams to uncover real-world challenges and translate them into elegant, resilient technical solutions. You will move quickly in a 0?1 environment, take ownership of architectural decisions and play a key role in shaping both the product and the engineering culture from the very beginning.


Responsibilities

• Work closely with EMS (Emergency Medical Services) teams to gain a deep understanding of their challenges.

• Develop customer-facing functionality across three core products.

• Take full ownership of the development lifecycle, from system design through to deployment.

• Drive key technical decisions that will influence the product and company long term.

• Contribute to building the engineering culture and support hiring future team members.

Skillset

• Minimum of 3 years’ experience building full-stack products end-to-end.

• Strong React skills with solid design and UX sensibilities.

• Experience working with APIs and LLM/RAG architectures.

• Proven ability to own projects from architecture through to deployment.

• Comfortable operating in a fast-moving 0?1 environment without a playbook.

• Product-minded, with strong instincts for what great software looks and feels like.

• Previous experience in a high-ownership or early-stage environment is a bonus.

• Familiarity with Go, PostgreSQL, Google Cloud, or exposure to Public Safety/Healthcare domains is plus.

• Authorized to work in the US (no visa sponsorship available).

Benefits

• Salary: $125k - $175k DOE.

• Equity.

Our client, an AI-driven organization, is hiring experienced Senior Software Engineers to join their team in New York. The successful candidate will design and build large-scale systems that enable AI to run quickly, securely and reliably in production, contributing to a transformative platform that reimagines how organizations build internal software and helps define the future of SaaS.


Responsibilities

• Design and build large-scale untrusted code execution environments with secure sandboxing.

• Develop and operate massively parallel AI agent runtimes and scheduling systems.

• Architect and maintain multi-cloud and customer VPC deployment models.

• Build highly reliable distributed systems with strict security and data integrity guarantees.

• Implement deep observability across AI workflows and underlying infrastructure.

• Create and evolve enterprise-grade integration and metadata platforms.

Skillset

• Strong foundation in distributed systems, scalability, multi-cloud architecture and security.

• Practical experience with operating systems, containers, Kubernetes, cloud networking and event-driven runtimes such as Knative or KEDA.

• A passion for creating simple, elegant solutions to complex systems challenges.

• Demonstrated experience designing, building and operating large-scale infrastructure.

• A strong zero-to-one mindset with the ability to thrive in ambiguous problem spaces.

Benefits

• Salary: $220k - $250k DOE.

• Equity.

Our client, an exciting AI-driven SaaS company, is hiring a Frontend / Browser Extension Engineer to join their team in Palo Alto, CA. The successful candidate will design and develop enterprise-grade browser extensions that deliver real-time visibility and control across web applications., from building systems that monitor data flows, enforcing security policies and scaling seamlessly across large organizations.


Responsibilities

• Design and develop browser extensions for Chrome, Safari and Firefox with enterprise-grade security features.

• Implement in-browser real-time monitoring and policy enforcement systems.

• Build secure communication channels between browser extensions and cloud services.

• Develop scalable deployment and management frameworks for enterprise environments.

• Enable in-browser data detection and classification for sensitive information.

• Optimize extensions for performance, security and reliability across complex enterprise settings.

Skillset

• Minimum of 6 years of experience building production SaaS with a strong focus on frontend engineering.

• At least 3 years of hands-on experience with Web Extensions, browser security models and shipping production extensions (Chrome Web Store portfolio required).

• Expert-level proficiency in TypeScript and React, including build systems, performance optimisation and state management.

• Strong systems thinking for designing complex frontend architectures that balance security, performance and maintainability.

• Experience developing security or data protection systems.

• Proven track record of independently shipping complete solutions from ambiguous or undefined problems.

Benefits

• Salary: $160k – $200k.

• Equity.

• Health, Dental & Vision Insurance.