Own and scale the AI Pentest stack, writing Python, TypeScript, PHP and Vue across the entire stack, owning AWS, LLM deployment, the API and the pentest agents, and scaling the architecture to thousands of simultaneous agents.
Compensation
Top-tier tech pay and equity.
Responsibilities
Write Python, TypeScript, PHP and Vue across the entire stack
Own AWS, LLM deployment, the API and the pentest agents
Scale the architecture to thousands of simultaneous agents
Turn customer feature requests around fast
Ship small iterative changes to prod the moment they’re ready
Lead end-to-end deployments of OpenAI’s models inside financial services organizations, translating complex workflows into production systems.
Responsibilities
Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows.
Lead discovery and scoping from pre-sales through post-production, translating ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes.
Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance.
Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures.
Run evaluation loops that measure model and system quality against workflow-specific financial benchmarks and use results to drive iteration.
An applied AI engineering role focused on building the 'Product Factory' (agentic pipelines), shipping customer-facing features using VLMs and LLMs, and building AI tools/agents to increase company productivity.
Locations (6)
London, England, United Kingdom
San Francisco, California, United States
Zürich, Zurich, Switzerland
Dubai, Dubai, United Arab Emirates
New York, New York, United States
Principal Solutions Architect, Professional Services
Lead the building and scaling of Docker’s Professional Services practice, delivering enterprise solutions and advisory services across AI, security, and containerization domains.
Locations (3)
Australia
Seattle, Washington, United States
Paris, Île-de-France, France
Responsibilities
Build and scale the Professional Services practice
Develop and codify repeatable reference architecture patterns
Translate reference architectures into customer-facing technical collateral
Collaborate with product, marketing, and revenue teams to integrate services into GTM motions
Identify offerings that drive product expansion, renewals, and long-term customer value
Competitive salary and eligibility for equity. Biannual bonus scheme
Responsibilities
Ship AI features for customers, such as personalised energy recommendations and onboarding from an energy bill.
Build LLM applications and agents for support, engineering, warehouse and back-office teams, including multi-agent systems and durable workflows (e.g. Temporal).
Build the engineering around them: cloud infrastructure, integrations, and access control.
Own evaluation: datasets, golden answers, human and LLM judges, A/B tests.
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