Forward Deployed Engineer

Tact; Lisboa; Remote; EUR 110,000 - 160,000; Full time

Job summary

Tact is seeking a Product Engineer/Forward Deployed Engineer (Agentic AI) to join our AI-native SaaS team building autonomous agents that automate business processes. The role is fully remote with no mandatory office days, but Lisbon-based candidates are preferred for locality awareness.

You’ll work on production AI agents using agentic workflows and contribute across frontend, backend, and infra. Ideal candidates have strong full-stack experience, experience with AI-native development, and a

Qualifications

• Strong full-stack engineering experience.
• AI-native development experience.
• Agentic workflows experience.

Responsibilities

• Build and ship AI agents and AI-native features across SaaS product.

Skills

Full-stack engineering

AI-native development

Agentic workflows

AI product experience

End-to-end product ownership

Customer exposure

Product judgment

Product UX thinking

Tools

Claude Code

Codex

Cursor

Job description

Product Engineer/Forward Deployed Engineer (Agentic AI) | €110K–€160K + Equity | Fully Remote

Lisbon-based candidates only

Fully remote. No mandatory office days.

This role is with an AI startup that is in the top 1% globally for early-stage fundraising speed, having raised nearly $50M within its first year, more than double the estimated European average at this stage.

If you're a software engineer in Lisbon who's already building AI agents, agentic products or advanced AI coding workflows, this is perfect for you.

You'd join an AI-native SaaS scale-up building AI agents that automate complex business processes across all business software and systems.

So, why join?

• Fully remote. No mandatory office days, with a growing community of engineers in Lisbon who enjoy building things together.
• Proper agentic engineering. Claude Code, Codex, autonomous coding agents, spec-driven development, parallel agents and AI-generated tests and reviews.
• Build AI with AI. Work on production AI agents while using agentic workflows to build and ship software.
• Forward-deployed-style engineering. Work directly with enterprise customers, understand their problems and build solutions they actually use.
• Real ownership. Take products from an initial customer problem through to production, across the frontend, backend and infrastructure.
• Move fast. Small teams, minimal bureaucracy and the freedom to make technical decisions and ship software quickly.

Who are they looking for?

You'll have:

• Strong full-stack engineering experience, building and shipping production applications across frontend and backend.
• AI-native development experience, using Claude Code, Codex, Cursor or similar tools beyond basic code generation.
• Agentic workflows, ideally including spec-driven development, multiple coding agents, automated testing or AI-assisted reviews.
• AI product experience, ideally building LLM-powered features, AI agents or applications that use AI to complete real tasks.
• End-to-end product ownership, taking ambiguous problems from initial idea through to production.
• Customer exposure, working directly with customers and understanding user problems, gathering feedback and making product decisions based on what customers need.
• Product judgment, knowing what to build, what not to build and how to measure the commercial impact.
• Strong product and UX thinking, building software that is genuinely easy for people to use.

Startup or scale-up experience would be a big advantage.

The tech stack: TypeScript, React, Next.js, Node.js, PostgreSQL and GCP.

You don't need to have worked with this exact stack.

Experience building full-stack products is more important, alongside the willingness to pick up new technologies quickly.