Senior Forward Deployed Engineer, AI Transformation

Zaigo; Turquie; À distance; TRY 400 000 - 700 000; Plein temps

Résumé du poste

Zaigo is seeking an experienced software engineer who can own end-to-end delivery of production-grade systems. You will work directly with client IT teams, present to executives, and coordinate with US-based engagement leaders and founders.

The role emphasizes hands-on engineering across backend, frontend, and AI tooling, with a focus on practical, shipped solutions. You will demo new versions to clients, manage environments and access, and ensure security and compliance while delivering

Qualifications

• 5+ years building production software with real ownership
• You ship across the stack and own end-to-end delivery
• Strong English communication, on-client demos and executive-level presentations
• Experience working with client IT teams on environments, access, identity and security

Responsabilités

• Own the build end-to-end and demo to clients.
• Present work to client executives and walk them through decisions.
• Collaborate with founders and US-based engagement leads on projects.
• Handle live questions and provide clear, concise updates and risks.

Connaissances

End-to-end ownership

Production software

Client communications

System design

AI tooling experience

Outils

Claude Code

Codex

Cursor

AI agents

Description du poste

What the work looks like

You will own the build end to end. You work closely with a US-based Engagement Lead or Principal who owns the client relationship and runs the account. You also work directly with the founders.

You will often be the one presenting the work to the client, because you know it best. You demo what you built to the client's team and their executives, walk them through what you did and why, and handle their questions live.

That means you may demo the latest version to a client in the morning, sort out environments and access with their IT team after lunch, and ship the next usable version that week. The work is production engineering inside someone else's company: their APIs, their data, their cloud, their identity and security rules, their people. Database, backend, UI, auth, integrations, AI agents, evals, error handling, deployment, and the judgment to know what should not be handled by a model.

Recent projects include:

• a document review tool that checks presentations against a firm's brand and compliance rules
• a benchmarking platform built from years of public company filings
• payroll and operations tools that clean messy data and produce files people can actually use
• internal AI agents that help teams move faster without giving the model dangerous autonomy

You do not need to be an ML researcher. You do need to be a very strong engineer who knows how to use AI tools to ship better and faster.

Who we are looking for

• 5+ years building production software, with real ownership.
• You ship across the stack.
• You build with AI every day. Claude Code, Codex, Cursor, agents, worktrees, parallel terminals, your own setup. We care less about the exact tools and more about whether you have real opinions from using them, including how you check what they produce.
• Enterprise fluency, on any stack. You are comfortable on client calls and work directly with the client's IT team on environments, access, identity and security: Azure, AWS or GCP; Entra or Okta; Fabric, Snowflake or Databricks; their security review. You learn the client's stack fast.
• A strong presenter. Clear, confident spoken English. You are comfortable in front of client executives, demoing your work and answering questions on the spot.
• Excellent written English and strong async habits. Clear written updates, risks flagged early, and you unblock yourself.
• Solid overlap with US Eastern time, because our clients are in the US.
• You think like a product owner, and you have taste. There is no reason to ship ugly software anymore.
• You juggle several projects and take initiative without being asked.
• Bonus points if you have founded something, freelanced, run a small agency, built your own product, or worked directly with clients.

Who should not apply

This is probably not the right role if you want a narrow lane, a long roadmap, and fully written tickets.

It is also probably not right if your AI experience is mostly prompting ChatGPT, building toy demos, or talking about agents without shipping production software.

We need builders. Smart, fast, practical builders.

Pay and location

• We are profitable and bootstrapped, so pay is a strong base salary plus real performance bonuses tied to targets.
• Remote: Eastern Europe or Latin America, with solid overlap with US Eastern time.
• Full-time.

Process

We will message you a link to a short recorded case-study video: a quick client scenario you answer on camera, about 10 minutes, one take, whenever suits you. Maria, our Head of People, watches every video and invites the people she wants to meet. Then a call with Maria, a short practical build, and a conversation with our founders, Pete and Kyle.

We move quickly. If there is a fit, you will hear from us within days, not weeks.