Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with clients to shape and confirm technical solutions for content modernization and GenAI enablement.

• Provide guidance on technology stacks, trade-offs, and implementation strategies across CMS/DAM, front-end, APIs, and AI services.

• Convert content strategy and design intent into actionable technical plans.

• Create and develop proofs-of-concept that illustrate feasibility, value, and scalability.

• Implement front-end integrations with headless CMS/DAM platforms.

• Build or link GenAI workflows, including LLM and RAG, into content pipelines.

• Collaborate with client and partner engineering teams during implementation.

• Integrate features for AI-assisted authoring, retrieval, and personalization.

• Establish AI guardrails encompassing privacy, consent, accessibility, and observability.

• Design evaluation methodologies for AI outputs, focusing on quality, factual accuracy, tone, and accessibility.

• Ensure compliance with WCAG accessibility, Core Web Vitals performance, and scalability standards.

• Define testing strategies for content models, front-end rendering, and AI outputs.

• Support launch readiness through documentation, runbooks, and defect triage.

• Serve as an internal technical advisor and multiplier.

• Assist in defining future roles and participate in recruiting specialized engineers.

⛳️ Requirements

• Senior-level, hands-on engineering experience; actively coding.

• Strong foundational knowledge in front-end technologies: HTML, CSS, JavaScript, and TypeScript.

• Proficiency in React/Next.js is preferred.

• Experience with integrating headless CMS/DAM platforms such as Contentful, AEM Headless, or Sitecore.

• Practical knowledge of LLMs, RAG patterns, or AI-driven workflows.

• Capability to design APIs, data contracts, and front-end/state management patterns.

• Experience engaging directly with clients or stakeholders in a consulting or delivery role.

• Background in embedding AI into content workflows, including authoring, assembly, review, and personalization.

• Understanding of evaluation metrics related to quality, safety, accessibility, and human-in-the-loop review.

• Familiarity with privacy, compliance, and accessibility considerations for AI systems.

• Experience with front-end unit, integration, and UI testing, as well as accessibility tools.

• Ability to design validation strategies for modular content and AI outputs.

• Experience in design systems, such as Storybook, tokens, or enterprise component libraries, is a plus.

• Performance optimization experience with SSR/ISR or edge/CDN strategies is beneficial.

• Experience with internationalization and localization workflows is a plus.

• Familiarity with AI observability, cost monitoring, or prompt optimization is advantageous.

• Experience with CMS-integrated AI evaluation or reviewer dashboard is a plus.

🏝️ Benefits

• Clear career paths and opportunities for growth.

• An inclusive workforce.

• Salary transparency.

• Project-based contractor opportunities.

• Flexible project lengths and potential part-time opportunities.