Software Engineer (AI-First)

Position overview

This is a permanent, full-time role for an experienced engineer (typically 2–5 years’ experience) who owns features end to end and works AI-first by default. What defines this role isn’t the stack — it’s how you work: directing AI across the build loop, validating its output to a production standard, and raising the bar for how your team works with AI.

You’ll join an engineering organisation that is AI-first by design — AI is part of every stage of how we build product, not bolted onto the end. You’ll join our Lisbon team building Intapp’s AI-first product development lifecycle (PDLC) platform — the AI tools, managed agents, and shared “Digital Thread” that change how Intapp’s engineers plan, design, build, and ship software. You’ll work in a hybrid model (2+ days/week in office) from our Lisbon R&D Centre in Parque das Nações.

About Intapp

Intapp, based in Silicon Valley, is a leader in Vertical AI SaaS solutions, collaborating with the world’s top firms globally across accounting, consulting, investment banking, legal, private capital, and real assets. With 20+ years of industry expertise, Intapp’s “Intelligence Applied” approach is transforming how businesses operate and leverages a strategic partnership with Microsoft and a collaboration with Anthropic in delivering industry cloud and agentic AI solutions. The company culture promotes accountability, responsibility, and growth in a diverse, inclusive, and collaborative environment. Since going public in 2021 and trading on the NASDAQ, Intapp has expanded to over 1,300 employees globally with development centres in Palo Alto, Charlotte, Belfast, Berlin and Lisbon.

About Lisbon

Intapp chose Lisbon for its engineering talent and that decision is reflected in what the centre has already become. The Lisbon R&D team has 50 team members that work on the full engineering stack: backend, frontend, full-stack, QA automation, data and ML, DevOps, and database engineering. These aren’t supporting functions for work happening elsewhere. They’re teams with real product ownership, working directly on the platforms that Intapp’s clients depend on.

Our ambition is clear: Lisbon is being built as a flagship R&D location alongside Palo Alto, Charlotte, Belfast, and Berlin. Engineers who join now help shape how the centre works: its culture, its practices, and its role in Intapp’s global engineering organisation.

What you will do:

· Own delivery of features end to end, focused on the outcome — not just shipping — using AI as your default instrument from spec to pull request.

· Set the quality bar for AI-generated code on your team — review, validate, and refactor to production standard, catching hallucinations and architectural flaws.

· Improve how your team works AI-first — develop prompts, agentic workflows, and reusable patterns, and contribute them back to the team.

· Support and mentor junior engineers in AI-first practice.

· Partner with product managers, designers, DevOps and QA to turn intent into shipped software.

What you will need:

· Solid professional experience delivering production software, owning features end to end with limited supervision.

· A degree in Computer Science or a related field.

· Hands-on use of AI coding tools (Claude Code, GitHub Copilot, Cursor, or similar) as a core part of how you already work. This must be demonstrated, regular practice.

· Strong engineering fundamentals with real depth in at least one area — backend or frontend — and the proven ability and willingness to work across the stack, including core data structures and hands-on experience working with application data.

· Working knowledge of LLMs, prompt engineering, or agentic workflows — built through projects or work experience.

· The judgment to hold a high quality bar on AI-generated output and to explain your reasoning.

· Fluent English.

What would be nice to have:

· Experience mentoring engineers or leading discrete pieces of work.

· Familiarity with vector databases, embeddings, or retrieval-augmented generation (RAG) patterns.

· Background in enterprise software or B2B SaaS environments.

What we offer at Intapp:

· Attractive compensation — competitive base pay, performance-based variable pay, and equity/stock in Intapp (NASDAQ-listed).

· A results-first culture — we trust people to manage their own time and judge their own output. We care about what you deliver, not when you logged on.

· A hybrid work system supporting agile and flexible hours.

· Opportunity to travel to other development centres for product training and cross-site collaboration.

· Reimbursement for training towards continuing education.

· Generous paid parental leave (including adoptive leave), marriage leave, bereavement leave, carer’s leave, and paid sick days.

· Meal allowance.

· One-time home office stipend.

· A state-of-the-art facility with fully stocked kitchen — 5-minute walk from Gare do Oriente.

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.

Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at . If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.