AI Engineer

About Intapp

Intapp is the technology platform built for the world's most sophisticated professional services firms: law firms, consultancies, accounting practices, and investment organizations that demand more than off-the-shelf software.

Where generic tools fall short, Intapp delivers: a unified cloud platform purpose-built for the complexities of client relationships, deal workflows, regulatory compliance, and firm-wide intelligence. From conflict checks to matter management, from pipeline tracking to AI-powered insights, Intapp connects the people, processes, and data that drive firm performance.
Trusted by hundreds of the world's top-ranked firms, Intapp isn't just software; it's the operating system for professional services. They help firms win better clients, manage risk with confidence, and unlock the full value of their collective expertise.

If you've ever wanted your work to directly shape how elite firms operate at scale, this is where that happens.

Core Values

• No Bad Ideas: Brainstorm with curiosity and openness.

• Belief in Better: Data and software are transforming finance industry.

• Built for the Long Term: Prioritizing sustainability.

• Customers Are Partners: Treating them as part of the team.

• Feedback Driven: Give and receive it often and respectfully.

• Be Kind: Kindness is an asset.
  
  

Core Stack

• Python — AI development and orchestration

• LangGraph — LLM agent frameworks

• LLM APIs (Anthropic)

• Docker — containerization and runtime environments

• AWS / Azure / GCP — cloud infrastructure and deployments

• PostgreSQL & Vector Databases — structured and unstructured data

• CI/CD Pipelines — automation and observability tooling
  
  

Introducing Celeste:

Celeste is an AI-as-a-Service platform, designed to handle complex, long-running tasks across CRMs, data products, and workflow automation. Think: multi-tenant agent orchestration, dynamic tool routing, and enterprise-ready infrastructure.

What You’ll Do

• Develop and maintain AI agent systems using LangGraph to support complex, multi-step workflows across enterprise applications and datasets.

• Design agent workflows, tool routing strategies, and execution pipelines capable of handling long-running tasks, multi-agent coordination, and dynamic tool usage.

• Take ownership of technical challenges from discovery to deployment. Investigate systems, collaborate with other teams, and propose practical solutions to unblock progress.

• Translate business problems into reliable AI-driven processes by combining LLM reasoning, structured data, and external APIs.

• Extend, customize, and optimize LangGraph and related frameworks to support scalable, maintainable agent systems.

• Partner with engineers, product teams, and design partners to ship AI-powered features that integrate with existing platforms and workflows.

• Leverage modern AI-assisted development workflows to accelerate implementation while maintaining high-quality engineering standards.

• Ensure long-term sustainability through thoughtful architecture, testing, and documentation.

  This role focuses on building production AI agents and orchestration systems, not training models, working on LLM research, or semantic machine learning.
  
  

Must-Have Skills

• Fluent in English (B2+)

• Strong Python development experience

• 6+ years of professional experience in AI Engineering, Software Engineering, Machine Learning, or Data Science, with recent experience building production AI applications.

• Hands-on experience building and deploying AI agents in production

• Deep experience with agent frameworks with LangGraph.

• Strong understanding of LLM-based system design (prompting strategies, context management, tool usage)

• Experience architecting multi-step workflows powered by LLMs

• Solid understanding of software architecture, production systems, and scalable AI applications.

• Comfortable designing and debugging complex agent workflows
  
  

Nice-to-Haves

• Experience with vector databases and retrieval-augmented generation (RAG)

• Familiarity with multi-agent architectures

• Cloud deployment experience (AWS, Azure, or GCP)

• Experience building AI-first products or startup environments

• Contributions to AI or developer tooling open-source projects
  

Mindset & Culture Fit

• Writes clean, maintainable code

• Balances speed with sustainable design

• Values collaboration, feedback, and kindness

• Comfortable working in a remote, async-first environment
  
  

Compensation & Benefits

• Self-Managed PTO

• $100,000/yr to $120,000/yr

• Company led by a successful technical CEO

• Accounting and Legal setup advisory (for PJ)

• Dedicated career mentor for ongoing support

• MacBook Pro supplied by the company

• Direct deposit into your account every two weeks

• Trip to the USA to hang out with your team (Visa included)
  
  

Next Steps

• Apply

• Keepers Interview (1 hour)

• Technical Interview and live coding with Marcos (30 minutes)

• Final Interview with VP of AI Platform. (30 minutes)
  
  

Learn more

• Product

• Intapp's Values and Work Agreements