AI Jobs

This role owns deployment of Encord's AI data platform for strategic customers. It includes data integrations, customer onboarding, demos, best-practice guidance, and feedback loops into product development.

This role drives enterprise deployments, pilots, and technical discovery for a data and AI security platform. It turns ambiguous data and AI security problems into concrete deployments, integrations, and remediation workflows.

This role executes complex coding and GenAI data projects for enterprise AI clients. It combines technical planning, code-quality protocols, delivery operations, applied AI experimentation, and evaluation-oriented project execution.

This role is the primary technical contact for enterprise customers adopting CopilotKit's agent-user interaction platform. It includes demos, proof-of-concepts, architecture guidance, debugging sessions, and production readiness support.

This role accelerates product development for an AI-first fintech operating system for SMEs. It translates customer usage insights into shipped features, combining direct customer proximity with full-stack product engineering.

This role embeds with customers and partners to deploy Spice.ai's data and AI runtime in production. It works on query federation, search, AI inference, data integrations, deployment optimization, and customer-driven product improvements.

This role leads customer-facing technical execution for Refuel's LLM-powered data platform. It covers post-sales engagements, POCs, onboarding guidance, enterprise AI adoption, and product feedback from real AI application lifecycles.

This role designs, deploys, and optimizes GenAI data solutions for enterprise clients. It owns data quality, validation logic, automation pipelines, observable workflows, and reproducible quality frameworks for model development.

This customer-facing role builds production AI applications on an enterprise GPT platform. It designs agents, workflows, connectors, MCP integrations, guardrails, evaluation, telemetry, and lifecycle governance for real business teams.

This role embeds with strategic customers to ship advanced AI applications built on Claude. It spans production LLM applications, MCP servers, sub-agents, agent skills, deployment patterns, and enterprise adoption.