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.

Client-Facing Technical Leadership

• Partner with clients to shape and validate technical solutions for content modernization and GenAI enablement.

• Advise on technology stacks, tradeoffs, and implementation approaches (CMS/DAM, front end, APIs, AI services).

• Translate content strategy and design intent into executable technical plans.

Hands-On Delivery & Prototyping

• Design and build proof-of-concepts that demonstrate feasibility, value, and scalability.

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

• Build or wire up GenAI workflows (LLM, RAG) into content creation, assembly, and delivery pipelines.

• Collaborate directly with client and partner (e.g., Mphasis) engineering teams on implementation.

AI & Content Enablement

• Integrate AI-assisted authoring, retrieval, and personalization features into content systems.

• Define guardrails for AI usage, including privacy, consent, accessibility, and observability.

• Design evaluation approaches for AI outputs (quality, factuality, tone, accessibility).

Quality, Performance & Operations

• Ensure accessibility (WCAG), performance (Core Web Vitals), and scalability are built in from the start.

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

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

Practice Growth

• Act as an internal technical advisor and multiplier.

• Help define future roles and participate in hiring more specialized engineers as demand grows.

Skills & Experience

Core Requirements

• Senior-level, hands-on engineering experience (you still code).

• Strong front-end fundamentals (HTML, CSS, JavaScript/TypeScript); React/Next.js preferred.

• Experience integrating headless CMS/DAM platforms (e.g., Contentful, AEM Headless, Sitecore).

• Practical experience working with LLMs, RAG patterns, or AI-driven workflows.

• Comfort designing APIs, data contracts, and front-end/state management patterns.

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

AI & Content Systems

• Experience embedding AI into content workflows (authoring, assembly, review, personalization).

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

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

Testing & Quality

• Experience with front-end testing (unit, integration, UI) and accessibility tooling.

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

Nice to Haves

• Design systems experience (Storybook, tokens, enterprise component libraries).

• Performance optimization (SSR/ISR, edge/CDN strategies).

• Internationalization and localization workflows.

• Experience with AI observability, cost monitoring, or prompt optimization.

• CMS-integrated AI evaluation or reviewer dashboards.

Originally posted on Himalayas