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# Software Engineer - AI Product Integration

- **Company:** Intapp, Inc.
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Software Quality, Code Review, DevOps, Software Product Management, Software Engineering, Web Services, Large Language Models, Grafana, Prompt Engineering, Data Analytics, Automation Anywhere
- **Published:** May 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ceafb0f8b9dbf17b

## About the Role

Do you have experience in Web services design?, * Proficiency in C#

 * Knowledge of Model Context Protocol (MCP) for connecting tools and data into models
 * Experience in developing enterprise-grade web services
 * Experience working with cloud platforms such as Azure, AWS, or GCP
 * Practical experience integrating large language models (LLMs) into production software, including prompt design, context management, and responsible AI considerations
 * Ability to collaborate with product managers and designers to translate business requirements into AI-augmented product features, balancing technical feasibility with user value

Nice to have - AI depth skills:

 * Hands-on experience with LLM and RAG engineering, including retrieval design, chunking, vector stores, and structured outputs, using tools such as OpenAI, LangChain or LlamaIndex.
 * Experience in building and orchestrating agentic systems that call tools and reason over retrieved context, using frameworks such as LangGraph or AutoGen, and OpenAI tool calling or the Responses API.
 * Familiarity with LLM evaluation and observability tools such as LangSmith or Langfuse
 * Experience with guardrails and security measures such as prompt injection defense and output validation

## Description

As a Software Development Engineer - AI Product Integration, you'll operate at the intersection of engineering and product: building robust software while shaping AI-driven features that deliver real user value. Your responsibilities will span hands-on development, AI feature design, cross-functional product collaboration, code review, performance and scalability, and mentoring. The ideal candidate combines deep technical expertise with strong product intuition and a passion for leveraging AI to solve complex business problems.

What you will contribute:

 * Lead hands-on development of products and AI-powered features, from initial prototype through production-grade delivery
 * Partner with Product Management to define and drive AI integration strategy across multiple products, shaping features from concept through maturity
 * Communicate and partner with engineers, product management, data scientists, DevOps, and other key team members and stakeholders to align on AI capabilities, product direction, and delivery timelines.
 * Define and contribute to AI feature technical requirements, specifications, prompt strategies, model selection trade-offs, implementation decisions, and documentation
 * Perform code review and provide constructive feedback with regard to code quality, scalability, performance, and responsible AI practices including safety, reliability, and cost efficiency
 * Mentor less experienced team members on software design, performance, scalability, and AI engineering best practices including LLM integration patterns and agentic system design
 * Design and implement end-to-end AI workflows - including prompt engineering, retrieval pipelines, tool-calling agents, and output validation - that integrate seamlessly into enterprise product surfaces
 * Evaluate and monitor AI feature performance in production using observability tools, driving continuous improvement through experimentation and data-driven iteration


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