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Original job spec ↗
Principal Demo Engineer · Dublin

Tooling and platforms that make AI agents feel real before they ship.

Principal Demo Engineer · Dublin, Ireland · Hybrid (3 days/week in office)

A decade building developer-facing platforms and high-fidelity POCs — starting in UX, co-founding a firm scaled to 22 professionals, and shipping agentic AI in production. I design the mock environments, seeded data, and integration templates that Solutions Engineers rely on to move fast and close deals. Certified in Claude Code and agentic architectures, I build the tooling that multiplies sales velocity. The Principal Demo Engineer seat in Dublin is where full-stack engineering and pre-sales enablement meet.

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EKAGRAJamahookAnygumGlobal JuteFrontgoSingistic
The thesis
“Demo engineering isn't just about showing features; it's about building the platform and reset infrastructure that makes complex AI agent workflows feel bulletproof and fast to deploy.”
Fauzul Kabir ChowdhuryApplying for Principal Demo Engineer · Dublin
Why Fin

Conviction over hype.

What pulled me toward Fin wasn't a feature list — it was the clarity of conviction running through the company, starting with Eoghan McCabe. I first came across Fin — and Eoghan himself — through his conversation on Lenny's Podcast, and that focus — raw, customer-obsessed, building actual utility instead of AI theatre — made me realise that's the room I want to be in. This Demo Engineering seat in Dublin rewards exactly how I think about developer-facing tools: lead discovery, prove value with tailored mock environments and POCs, and build the infrastructure that helps the field scale — with build-grade AI fluency behind every demo. Dublin is my EMEA first choice, placing me closer to my sister in London and my best friend in Oslo, and I'm ready to commit to your hybrid cadence.

Platform building that empowers the field

I have spent a decade co-founding and leading its technology decisions as CIO. This means I've built the internal tooling, monorepo structures, and CI/CD pipelines that let our 22 engineers ship fast and reliably. I know how to design environments that are isolated, secure, and easily reproducible. For Fin, this translates directly to designing mock workspaces, seeded data systems, and reset infrastructure that let SEs spin up pristine, vertical-specific demos in minutes.

Bespoke POCs that prospects can touch — not slides

Starting in UX means I care about how a demo looks and behaves. I design high-fidelity interactive prototypes in hours, showing real value before committing heavy resources. 's Claude CMS went from brief to production in weeks; runs live multi-agent orchestration on Google's A2A protocol. I know how to show Fin across Messenger, mobile SDKs, APIs, and voice.

AI as a tool to automate demo prep

I develop with AI agents daily. I actively build with Claude Code, am pursuing advanced developer credentials via the Claude Partner Network (CPN) learning path, and hold Google × Kaggle Agentic Intensive honors. I don't just use AI to write code; I design agentic workflows (like and ). I will use this literacy to configure Fin to auto-synthesize prospect data, org structures, and realistic conversations for tailored demos.

Partnering with Enablement to scale the field

A decade as CIO made me the bridge between technical engineering and client-facing business teams. I have mentored engineers into senior roles abroad and run technical training internally. I will translate product releases into hands-on challenges, training materials, and certification paths that ramp AEs and SEs faster.

Security, compliance, and API fluency

I have guided five organisations through GDPR, HIPAA and WCAG 2 audits, and architected federated OIDC/RBAC at . When security reviews or integration questions land mid-cycle, I can explain the demo sandbox data governance and tenant isolation with production authority.

Scale & impact

A career optimized for shipping

22Engineers & product professionals led at ELO
9+Years co-founding & leading ELO as CIO
3First-party AI agent certifications (Anthropic / Google)
5Organizations guided through GDPR / HIPAA audits
The Fin loop, the way I already build

Train · Test · Deploy · Analyze

Fin's flywheel is exactly the discipline I bring to every customer engagement — scope, prove, ship securely, then feed the field back into the product.

01

Train

Scope procedures, knowledge sources and success criteria with the customer — validate the ambiguous brief before a line of code.

02

Test

Simulate production conversations and run eval suites (Jest, Cypress, Playwright) to catch hallucination, latency and drift before go-live.

03

Deploy

Wire secure REST payloads, webhooks, OIDC auth and RBAC straight into the customer stack — auditable and reversible by design.

04

Analyze

Measure resolution, escalation quality and edge-case failures — carry field lessons straight back to Sales, Success and Product.

Point by point against the JD

10 reasons Fauzul fits this seat

Fin's Principal Demo Engineer owns the demo platform, builds internal sandboxes, uses AI to configure mock environments, and partners across engineering, product, and enablement. Here is a point-by-point read of how a decade of platform building, UX-led prototyping, and agentic AI certifications map to this role.

  1. 01
    Strong fit

    6+ years building software in a customer-facing technical role - Solutions Engineering, Developer Relations, Founding Engineer, or similar.

    He has 9+ years of customer-facing technical advisory as co-founder and CIO of . He has scoped, demoed, and closed enterprise engagements directly with C-suite buyers and paired with their technical leads across London, Zurich, Oslo, Dubai, Florida, and Montreal. As a founding engineer at , he owned the entire product lifecycle — from UX design to production architecture.

  2. 02
    Strong fit

    Hands-on AI/LLM product experience. You've built with LLMs, you understand RAG, tool use, agents, and evals, and you know the practical limits of current models.

    He actively designs and deploys agentic AI in production. He built a Claude-powered natural-language CMS for , n8n-orchestrated autonomous briefing tools (), and a multi-agent A2A mesh using Google ADK (). He builds with Claude Code and is currently pursuing advanced developer certification via the Claude Partner Network (CPN) learning path, backed by Google × Kaggle Agentic Intensive honors.

  3. 03
    Strong fit

    Strong full-stack chops: TypeScript on the front end plus one strong backend language (Ruby, Go, or Python), and comfort working across web and mobile (iOS/Android or React Native).

    He writes TypeScript/React daily for the frontend. His backend toolkit includes Node.js, Go (concurrent services), and Python (AI/data pipelines). He built a cross-platform mobile video/social app in Flutter () with AWS media transcoding, demonstrating comfort across web and mobile surfaces.

  4. 04
    Strong fit

    Deep familiarity with SDKs, wrappers, and developer-facing APIs - you've both built them and integrated against them. RESTful APIs and SaaS integrations are second nature.

    A decade architecting APIs, webhooks, and third-party integrations (Vipps payments for Frontgo, Stripe for ). He writes custom Model Context Protocol (MCP) servers to allow LLMs to safely query database schemas, showing deep API design fluency.

  5. 05
    Strong fit

    You've made yourself measurably more productive with Claude Code or equivalent agentic coding tools. You can show concrete examples of where AI doubled your output - and you'll teach the rest of the SE org to do the same.

    Adopting Claude Code as his primary build environment allowed him to compress delivery cycles by 50%. He is pursuing advanced developer certification via the Claude Partner Network (CPN) learning path to deepen his agentic expertise. He has codified 's AI development playbooks to train and mentor internal engineers.

  6. 06
    Strong fit

    Design sensibility. You care how the demo looks, not just what it does. You know that a demo that works but looks amateurish loses deals.

    He spent 2 years as 's UX Engineer (2017-2018) and 6 years freelancing in brand design/frontend. He designed (multi-tenant SaaS) and (Figma-first marketplace) from scratch. He understands that pixel-perfect alignment, typography, and micro-interactions are critical to buyer confidence.

  7. 07
    Strong fit

    An eye for what makes a demo land - the difference between a feature walkthrough and a story that closes deals.

    Co-founding a product engineering venture firm meant pitching and winning deals against global agencies. He structures demos around business narratives and user outcomes rather than running through feature checklists. He designs POCs that make product capabilities tangible in the client's own context.

  8. 08
    Strong fit

    Experience building internal platforms or developer tooling at scale.

    He built 's unified development pipeline from scratch — standardizing API mock patterns, automated testing release gates (GitHub Actions), and OIDC/RBAC auth templates. This increased engineering velocity by 4x across 5 product portfolios.

  9. 09
    Strong fit

    Experience designing or maintaining multi-tenant demo or sandbox environments, including synthetic or anonymised data.

    Architected the multi-tenant database structures for and . He designed seeded demo workspaces and tenant reset protocols using PostgreSQL and Firestore, ensuring transaction isolation and automated state cleanup.

  10. 10
    Strong fit

    Prior work that bridged engineering and revenue - lighthouse deals, founding-engineer scope, or solutions engineering platforms.

    As CIO and co-founder, he directly owned pre-sales POC execution for lighthouse client accounts. He closed multi-year enterprise partnerships by building tailored prototypes that proved technical feasibility under strict integration constraints.

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Capabilities assessment

Strengths & honest gaps

A balanced look at how the background maps to Fin's bar — and exactly how the gaps close.

Platform & sandbox engineering at scale

Ex-founder and CIO who built 's engineering infrastructure, monorepos, and CI/CD pipelines. Architected multi-tenant SaaS sandboxes with tenant isolation and reset states — the exact skills needed to own the Fin demo platform.

Production agentic AI & Claude Code certified

Ships agentic AI in production (Claude CMS at , A2A, ). Builds with Claude Code and is currently pursuing advanced developer certification via the Claude Partner Network (CPN) learning path, backed by Google × Kaggle Agentic Intensive honors.

UX-led prototyping & high-fidelity POCs

Ex-UX Engineer with deep front-end chops. Builds polished, interactive prototypes in hours, showing Fin across Messenger, mobile SDKs, and voice. Knows that design and typography are key to making a demo close deals.

Bridging engineering, product, and revenue

A decade of pre-sales scoping and client delivery across 9 geographies. Mentored engineers, collaborated on roadmap prioritization, and closed enterprise deals by presenting high-fidelity POCs instead of slides.

Closing the gaps

2 weeks

No direct experience in customer support or CX vertical.

For domain terminology (SLAs, CSAT, deflection metrics), he will ramp up quickly by studying Fin's product documentation and running simulated support configurations in his first weeks.

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In production today

Pre-sales proof that survives the engineering review

A great demo needs more than a feature walkthrough — it needs a platform that is reliable, secure, and matches how customers actually deploy.

A Claude-powered CMS, running in a client's production stack

For , I built an agentic CMS that skips traditional headless structures. The client edits the live site in plain English; Claude opens a PR; CI/CD ships it to production on Cloudflare Workers. Natural-language intent in, reviewed and reversible change out — giving the team full self-serve independence without a developer queue. I build with Claude Code and am currently pursuing advanced developer certification via the Claude Partner Network (CPN) learning path to deepen my agentic architecture expertise.

  • Plain-English intent → Claude-authored PR → automated CI/CD deploy on Cloudflare Workers.
  • Every change stays inside Git — reviewable, auditable, and revertible. No black-box edits to live customer-facing surfaces.
  • AI-agent building capability: Active with Claude Code, pursuing Claude Partner Network (CPN) advanced certification, and Google × Kaggle Agentic Intensive honors.
  • Agentic 0→1 builds: (Bolt.new → YC), (Milan AI Week), (Google × Kaggle capstone using a multi-agent A2A/MCP mesh).
  • Compliance as product surface: GDPR/VAT (), HIPAA (), OIDC/RBAC () — secure isolation before AI touches data.
Train — scope & success criteria

A decade validating ambiguous briefs and designing interactive POCs in hours before committing heavy engineering resources.

Test — sandbox & reset states

Designing multi-tenant sandbox environments for ELO Books and Anygum with secure tenant isolation and scheduled resets.

Deploy — SDKs & webhooks

Deep API integration (Vipps for Frontgo, Stripe for Jamahook) and custom MCP server development to securely query schemas.

Analyze — field → product

Synthesizing customer feedback into platform decisions (auth friction → Anygum OIDC) and coaching engineers on AI playbooks.

Working with models & agents

How I deploy agentic AI in production

Demo Engineering requires bridging high-fidelity UX prototyping with secure, isolated sandbox environments and agentic AI automation.

Demo platform architecture

Multi-tenant sandboxes & resets

I design sandbox databases and mock workflows (using PostgreSQL/Firestore) with scheduled reset scripts to clean custom configurations, ensuring SEs always start with a pristine state.

Agentic automation

AI-driven demo configuration

Using my Claude Code and Google ADK experience, I build scriptable AI helpers to parse prospect details and configure vertical-specific demo workspaces (custom conversations, help articles) automatically.

Omnichannel showcase

Messenger, SDKs, & API interfaces

I build POCs across the full surface area — embedding messenger widgets, configuring React Native mock apps, and writing webhook listeners to prove Fin's omnichannel capacity.

Field enablement

Hands-on challenges & playbooks

I translate product releases into interactive sandboxes, codify SE playbooks, and design training challenges to ramp the sales organization faster than traditional classroom sessions.

Candid dialog

Answering the hard questions

Candid dialog on moving from founder/CIO into demo platform engineering, managing sandbox environments, and driving sales enablement.

You've been a CIO and co-founder. Why move to an individual contributor Demo Engineer role?

Because running a product engineering venture firm pulled me toward operations, people management, and contracts. What I love most is building the platforms and interactive POCs that make complex technology tangible. I'd rather spend my time engineering mock environments and scaling sales velocity for a frontier AI Customer Agent like Fin than grinding agency admin. I want to build at intensity with a high standard.

How do you ensure demo mock environments stay secure and isolated?

From production scar tissue: at , I designed instance-level RBAC and federated OIDC to prevent cross-tenant data leaks. Demo environments should follow the same discipline: strictly anonymized seed data, read-only guardrails for production APIs, and scheduled automated resets (using idempotent jobs) to wipe custom configurations after a session.

How do you partner with Product and Marketing for a new release?

By staying ahead of the roadmap. Before a new Fin feature goes to market, I will embed with the product pod, collaborate on talk tracks with Product Marketing, and configure simulation scripts. This ensures that the moment the feature is announced, Solutions Engineers have a fully configured, reliable sandbox environment ready to demo.

How do you transition from solo projects to principal-level team enablement in a global SE organization?

While I move fast on 0→1 POCs, my real impact is building frameworks that scale teams. At , I established our central developer playbooks, API guidelines, and CI/CD pipelines to enable a team of 22 engineering and product professionals. I design my builds—like ' FastAPI agent router or 's audio briefing platform—as reusable structures and shared templates so other engineers can clone, configure, and extend them immediately. For Fin, my goal isn't just to write one-off client demos, but to build a robust, scriptable demo platform that helps the entire global Solutions Engineering team spin up pristine sandboxes in seconds.

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Beyond the Role

What else Fauzul brings to the room

Capabilities and leadership scar tissue that extend far past the core job description.

UX & Design Engineering Bridge

Taste

Rare dual-competency from years as a UX Engineer. He bridges Figma layouts to React codebases with pixel precision, creates custom SVG assets, and designs micro-animations that make demos and products feel premium.

Developer Mentoring & Playbooks

People

As 's CIO, he established the studio's engineering standards and playbooks. He has guided junior developers into staff roles — with alumni now leading technical teams in Norway, Canada, and Germany.

Compliance & Audits by Design

Trust

Brings hands-on experience guiding five organizations through GDPR, HIPAA, and WCAG 2 audits. He treats privacy and access control (OIDC/RBAC at ) as a core product feature, not a checklist.

Founder & CIO Commercial Grit

Strategy

Eight years of co-founder operator experience. He understands run rates, value-based scoping, and resource prioritization. He partners with product and sales to drive revenue, not just deploy code.

Track record

The stack & the builds

The platform architecture, mock data pipelines, and agentic integrations behind the demo — the proof an enablement lead would feel in a technical session.

Forward Deployed & Customer-EmbeddedStrategic customer embedding · Coding side-by-side with client teams · Discovery → pilot → production · On-site delivery & travel · Cross-functional GTM (Sales · Success · Product) · FDE playbook codification
AIAgentic Development · Agentic Workflow · LLM Integration · MCP · A2A · Google ADK · Prompt Engineering · Eval / harness hill-climbing · Token & cost-aware context engineering · Firecrawl · Cursor · Bolt · Firebase Studio · Nano Banana · Claude Code · Claude Skills · Claude Code Subagents · Claude hooks & tools · Anthropic Claude · Google Antigravity (agy CLI) · Gemini Spark (email topic loops) · On-device Gemma 4 E2B (this site chat · WebGPU + MediaPipe) · Kimi via OpenRouter (NewScriber) · Gemini TTS via Azure (NewScriber)
REST APIs & IntegrationsREST / GraphQL / WebSockets · OIDC federated login & RBAC · Webhooks & idempotency · Stripe · Vipps · third-party SaaS · Multi-tenant API platforms · Knowledge-base & workflow integration patterns
Full-Stack Product EngineeringTypeScript / JavaScript · Go · Python (AI & data) · React / Next.js · Node.js · CI/CD · automated testing · Prototype fast, high quality bar
Client & DeliveryClient communication · Requirements gathering · Specifications management · Enterprise problem identification · Solution architecture · Technical scoping · Delivery management · Stakeholder alignment · Executive communication
Trust, Compliance & CommunicationHIPAA · GDPR / VAT · WCAG 2 · Auditability & least-privilege · Executive ↔ engineer communication · Technical scoping & ROI framing · Agent evals & simulated go-live · Founder / early-engineer 0→1 SaaS
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Next steps

Bring Fauzul into the room — in Dublin.

Intentional about Dublin, Ireland — placing me closer to my sister in London and best friend in Oslo. Relocating to Dublin for hybrid three-days-in-office and occasional customer travel from day one.

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