At Blink, we constantly have new opportunities, so if you are interested in working for Blink, apply, and we will contact you if a position that fits your experience comes in. Blink UX is looking for Forward Deployed Engineers interested in our project-based contractor pool. Project-based contracts vary in length; projects at Blink usually range from 1-4 months. Most opportunities are full-time, but sometimes part-time needs arise as well. This is a great opportunity to work with a diverse group of clients from various industries.
As a Forward Deployed Engineer, you will bridge content, design, and engineering to deliver modern, AI-enabled content platforms. Lead technical solutioning for clients while remaining deeply hands-on—building proofs of concept, validating architectures, and operationalizing AI-driven content workflows.
What you'll be doing:
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Partner with clients to shape and validate technical solutions for content modernization and GenAI enablement.
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Advise on technology stacks, tradeoffs, and implementation approaches (CMS/DAM, front end, APIs, AI services).
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Translate content strategy and design intent into executable technical plans.
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Design and build proof-of-concepts that demonstrate feasibility, value, and scalability.
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Implement front-end integrations with headless CMS/DAM platforms.
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Build or wire up GenAI workflows (LLM, RAG) into content creation, assembly, and delivery pipelines.
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Collaborate directly with client and partner (e.g., Mphasis) engineering teams on implementation.
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Integrate AI-assisted authoring, retrieval, and personalization features into content systems.
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Define guardrails for AI usage, including privacy, consent, accessibility, and observability.
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Design evaluation approaches for AI outputs (quality, factuality, tone, accessibility).
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Ensure accessibility (WCAG), performance (Core Web Vitals), and scalability are built in from the start.
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Define testing strategies for content models, front-end rendering, and AI outputs.
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Support launch readiness with documentation, runbooks, and defect triage.
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Act as an internal technical advisor and multiplier.
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Help define future roles and participate in hiring more specialized engineers as demand grows.
Client-Facing Technical Leadership
Hands-On Delivery & Prototyping
AI & Content Enablement
Quality, Performance & Operations
Practice Growth
What we are looking for:
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Senior-level, hands-on engineering experience (you still code).
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Strong front-end fundamentals (HTML, CSS, JavaScript/TypeScript); React/Next.js preferred.
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Experience integrating headless CMS/DAM platforms (e.g., Contentful, AEM Headless, Sitecore).
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Practical experience working with LLMs, RAG patterns, or AI-driven workflows.
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Comfort designing APIs, data contracts, and front-end/state management patterns.
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Experience working directly with clients or stakeholders in a consulting or delivery role.
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Experience embedding AI into content workflows (authoring, assembly, review, personalization).
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Understanding of evaluation metrics (quality, safety, accessibility) and human-in-the-loop review.
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Familiarity with privacy, compliance, and accessibility considerations for AI systems.
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Experience with front-end testing (unit, integration, UI) and accessibility tooling.
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Ability to design validation strategies for modular content and AI outputs.
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Design systems experience (Storybook, tokens, enterprise component libraries).
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Performance optimization (SSR/ISR, edge/CDN strategies).
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Internationalization and localization workflows.
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Experience with AI observability, cost monitoring, or prompt optimization.
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CMS-integrated AI evaluation or reviewer dashboards.
Skills & Experience
Core Requirements
AI & Content Systems
Testing & Quality