Forward Deployed Engineer

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

Client-Facing Technical Leadership

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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.

Hands-On Delivery & Prototyping

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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.

AI & Content Enablement

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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).

Quality, Performance & Operations

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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.

Practice Growth

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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.

What we are looking for

Skills & Experience

Core Requirements

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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.

AI & Content Systems

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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.

Testing & Quality

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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.

Nice to Haves

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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.