Applied AI Engineer

Plný úväzok
Paris
Príležitostná práca na diaľku
Plat: 50K až 70K €
skúsenosti: > 1 rok
Vzdelanie: Magisterský stupeň vzdelania

Korint
Korint

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Otázky a odpovede ohľadne ponuky

Pozícia

Popis pracovnej ponuky

⚠️Please apply here https://korint.notion.site/Internal-AI-Tooling-31abab4b900e8061a33aed0a1b996ffc?pvs=74 no direct application on WTTJ will be taken into account.

🔥 We strongly encourage you to apply even if you do not meet all the specific criteria. We understand that not everyone will meet 100% of the requirements and we would still love to hear from you!

🔋 The Role

You will architect, build, and run AI-powered internal systems that increase the output of all teams. This is a hands-on, horizontal role: you will partner with GTM, Support, Finance, Ops, and the founders to turn v0.1 prototypes and fragile automations into reliable, observable, continuously improving workflows.

What “AI-first” means here:

  • Iteration is the job. Ship fast, then run weekly improvement loops based on real usage.

  • Robustness is non-negotiable. If it should run every 5 minutes, it runs every 5 minutes — with alerting and clear failure modes.

  • Feedback loops are built-in. Capture outcomes, user feedback, and ground truth signals to improve prompts, routing, and playbooks.

  • Workflows, not demos. Agents create tasks, check execution, analyze reactions, and propose next steps.

✅ What you’ll build

Some examples:

  • CRM migration (with AI): instrument workflows, migrate data, design enrichment + routing, build agents that keep data clean.

  • AI-powered GTM workflows: Lemlist is nice but too rigid — there is room for improvement.

  • Support agent on Pylon: triage, summarize, draft replies, route, and learn from outcomes.

  • Finance enablement: automate reconciliations, anomaly detection, reporting narratives, and monthly close checklists.

  • Website stack overhaul: move away from Webflow toward a “vibe-coded” frontend + headless CMS, with AI-assisted content ops.

  • Knowledge Management: self-updated internal wiki & Claude Skills.

  • Personal OS for everyone: lightweight internal systems that help every teammate execute, follow up, and keep context.

🛠️ Tools & environment

General: Google Workspace, Slack, Notion, Claude, Bastion.tech

Data: Fivetran, Clickhouse, Metabase

Engineering: Github, AWS, Trunk, Dash0, CustomerIO, CodeRabbit

Product & Ops: Pylon, Figma, Jam, Posthog

Finance & HR: Qonto, Pennylane, Excel, Google Sheets, Payfit, Benefiz

Sales: Pipedrive (we need to leave), Surfe, LinkedIn, Lemlist, Google Slides

Marketing: Webflow, GA, AdWords, Loops, Figma


Preferované skúsenosti

⚠️Please apply here https://korint.notion.site/Internal-AI-Tooling-31abab4b900e8061a33aed0a1b996ffc?pvs=74 no direct application on WTTJ will be taken into account.

🧠 What we’re looking for

1 to 5 years in whether:

  • a technical role (Solutions Engineer, Software Engineer, Automation Engineer, or similar).

  • a data role

  • a business role with strong appetite for technical topics

Mandatory

  • Self-sufficient in fast-paced environments; can translate ambiguous needs from non-engineers into working systems.

  • Strong API fluency: REST, webhooks, auth (OAuth, API keys), request/response handling.

  • Solid grasp of LLMs, prompt engineering, AI agent architectures, and data design (databases, transformation).

  • Hands-on experience building integrations and automation workflows (n8n, Zapier, Make, or similar).

  • Debugs complex, multi-system issues with a focus on scalable, maintainable solutions.

  • MCP-first reflex: when picking a tool, you check for MCP support before anything else.

Ideally

  • Production track record: shipped AI-powered automations and internal tools that real teams rely on — and iterated on them.

  • Experience with multi-agent systems, workflow orchestrations, and a mindset that obsesses over measurement over “launching”.

  • Hands-on dev background (TypeScript, JavaScript, Python, or similar) and/or knowledge of RAG, embeddings, vector DBs, or SQL.

  • Background in Revenue Operations or GTM tech stacks

🌱 Growing into a company‑wide AI leadership role

This role can evolve into leading a small group of cross‑functional AI engineers across the company:

  • Lead and mentor cross‑functional AI engineers, defining the team roadmap.

  • Build Korint‑specific AI agents centrally, from discovery to production operations.

  • Foster org‑wide AI adoption through self‑serve tools, training, and support.

  • Establish lightweight standards: instrumentation, runbooks, ownership, and “how we measure success”.

  • Keep a pragmatic technology watch: evaluate new tools and share what’s worth adopting.


Náborový proces

⚠️Please apply here https://korint.notion.site/Internal-AI-Tooling-31abab4b900e8061a33aed0a1b996ffc?pvs=74 no direct application on WTTJ will be taken into account.

  1. CTO Interview This is an opportunity to confirm your deep expertise and ensure alignment on your career goals and our expectations.

  2. On-site Interviews Meet the team and solve a practical problem with your own machine and a whiteboard.

  3. CEO Interview This is where we re-ensure alignment with our vision and values.

  4. Offer Congratulations on joining our small & talented team!

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