Position Overview:
At Intapp, we develop cutting-edge enterprise SaaS platforms that power the next generation of intelligent business applications. By embedding AI and ML deeply into our products, we empower organizations to make smarter decisions, automate complex workflows, and uncover insights from large-scale data.
We’re seeking motivated, technically strong early-career engineers who are excited to work with the latest advancements in machine learning, large language models (LLMs), and intelligent agent systems.
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 in delivering industry cloud 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 1,200 employees globally with development centers in Palo Alto, Charlotte, Belfast, Berlin and Lisbon.
About Lisbon:
Intapp is excited to continue the expansion of its Research & Development center in Lisbon. Lisbon’s tech ecosystem and vibrant community make it an ideal destination for engineers and tech professionals from around the world. The city's reputation for innovation aligns perfectly with Intapp’s mission to leverage AI and cloud-based solutions. Lisbon offers an ideal work-life balance and quality of life, making it an attractive city for top talent. Joining Intapp in Lisbon provides a unique opportunity to help shape the new flagship development center and contribute to high-impact projects in a thriving tech environment.
What you will do:
· Build and refine agent-based flows for enterprise automation and decision support.
· Contribute to LLM and RAG-based development for domain-specific tasks, enabling knowledge-augmented reasoning in our products.
· Lead iterative model development across the full lifecycle — from data preparation, architecture selection, and prompt design to evaluation, deployment, and monitoring.
· Apply prompt engineering strategies to optimize and control model output behavior in LLM-integrated features.
· Tune components across the ML pipeline, including preprocessing, model fine-tuning, and inference optimization.
· Debug and refine model performance by analyzing training data quality, hyperparameters, and evaluation protocols.
· Stay actively engaged with current ML/AI research, and help incorporate relevant advancements (e.g., Transformers, mixture of experts, model distillation, diffusion models) into production systems.
· Collaborate closely with product managers to align AI capabilities with enterprise business requirements.
What you will need:
· Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
· Strong proficiency in Python and Python-based machine learning stacks.
· 1–2 years of professional experience with machine learning and deep learning frameworks such as TensorFlow.
· Hands-on experience building chatbots or conversational AI systems, with a strong understanding of LLMs, embeddings, vector search, and RAG patterns. Experience with RAG frameworks (e.g., LangChain, Haystack) and vector databases (e.g., Pinecone, Weaviate, FAISS) is a plus.
· Proficiency in debugging AI systems and defining requirements related to data quality and training pipelines.
· Strong grasp of model evaluation metrics, experimentation design, and deployment best practices; familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices is advantageous.
· Experience integrating AI services with REST APIs, message queues, or workflows, with additional familiarity in SQL and NoSQL databases considered a plus.
· Exposure to modern application frameworks (e.g., C#/ASP.NET Core, React) and business software platforms such as CRMs, ERPs, or workflow automation tools is beneficial.
What you will gain at Intapp:
Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer:
- A state-of-the-art facility with a fully stocked kitchen – only a 2-minute walk to/from Gare do Oriente.
- A hybrid work system supporting agile and flexible hours.
- Attractive compensation – including competitive base pay and performance-based variable pay.
- Equity/Stock in Intapp.Opportunity to travel to other development centers for product training and cross-site collaboration.
- One-time home office stipend.
- Generous paid parental leave (including adoptive leave), marriage leave, bereavement leave, carer's leave, and paid sick days.
- Meal allowance.
- Reimbursement for training towards continuing education.
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 https://www.intapp.com/working-at-intapp/. 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.