Software Engineer (C#) - AI Product Integration

Intapp

Remote Hybrid

Quick summary

Work type
Remote
Location
Charlotte, NC
Posted
1 day ago

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Similar $184k
$135k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $149,387–$217,812.

Based on 240 similar postings.

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About Intapp

Intapp is a cloud software company providing industry-specific solutions for professional and financial services firms, including practice management, risk and compliance, and deal management platforms. Industry: Enterprise Software & Professional Services Technology

Intapp currently has 7 open roles on FindRole.

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TL;DR · Software Engineer (C#) - AI Product Integration

Intapp is hiring a Software Development Engineer – AI Product Integration to lead the design and enhancement of its enterprise cloud applications by integrating advanced AI technologies. This hybrid role involves hands-on development, feature design, cross-functional collaboration, code review, mentoring, and ensuring robust software delivery while addressing complex business needs. The ideal candidate will work with large language models, agentic systems, and retrieval-augmented workflows, contributing to technical requirements, specifications, and documentation. Proficiency in C#, experience with cloud platforms like Azure or AWS, and practical knowledge of integrating LLMs into production are essential. Additional skills include expertise in prompt engineering, context management, and responsible AI practices, as well as familiarity with frameworks for building agentic systems and evaluation tools. This role offers the opportunity to shape cutting-edge AI-driven features that deliver significant user value within a scalable enterprise environment.

What you'll do

  • Lead hands-on development of AI-powered features from prototype to production.
  • Define and drive AI integration strategy across multiple products in collaboration with Product Management.
  • Design and implement end-to-end AI workflows that integrate seamlessly into enterprise products.
  • Perform code reviews focusing on scalability, performance, and responsible AI practices.
  • Mentor team members on software design, performance, and AI engineering best practices.
  • Evaluate and monitor AI feature performance using observability tools for continuous improvement.

What we're looking for

  • Proficiency in C# and experience with cloud platforms like Azure, AWS, or GCP.
  • Hands-on experience integrating large language models (LLMs) into production software.
  • Ability to design and implement end-to-end AI workflows including prompt engineering and retrieval pipelines.
  • Strong collaboration skills for working across product management, data science, and DevOps teams.
  • Expertise in defining technical requirements and specifications for AI features, ensuring responsible AI practices.
  • Mentorship capabilities to guide less experienced team members on software design and AI engineering best practices.

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