Senior AI Engineer

As a Senior AI Engineer
, you will play a critical role in architecting, building, and scaling AI capabilities across our SaaS product portfolio. You will own the design and delivery of production‑grade AI systems—ranging from LLM‑powered applications and retrieval‑augmented generation (RAG) pipelines to intelligent, agent‑based workflows—used in high‑stakes enterprise environments.

This role is ideal for experienced engineers who combine strong software fundamentals with applied AI/ML expertise and have hands‑on experience building, deploying, and operating AI systems powered by large language models.

• Architect, design, and build scalable AI systems across the full lifecycle—from experimentation and prototyping to production deployment and monitoring
• Lead the development of LLM‑powered features, including prompt engineering, RAG pipelines, and multi‑step reasoning workflows
• Design and implement agentic systems for enterprise automation, decision support, and complex workflow orchestration
• Own end‑to‑end ML pipelines, including data preparation, feature engineering, model selection, fine‑tuning, inference optimization, and evaluation
• Define and execute rigorous experimentation frameworks to establish evals, measure accuracy, and cost tradeoffs
• Optimize model performance through data quality improvements, retrieval strategies, hyperparameter tuning, and system‑level optimizations
• Partner closely with Product, Data, and Platform teams to translate business requirements into robust AI solutions
• Stay current with AI/ML research and industry trends, and drive the adoption of relevant advances (e.g., Transformers, MoE, distillation, multi‑modal models) into production systems
• Provide technical mentorship and guidance to junior engineers, and influence best practices across the AI engineering organization

• Bachelor's or master's degree in computer science, Data Science, or a related field
• 5–10 years of professional experience in software engineering, ML engineering, or data science, with a strong production mindset
• 2+ years of hands‑on experience building AI systems using large language models (LLMs)
• Strong proficiency in Python and modern ML frameworks and tooling
• Practical experience with LLMs, NLP systems, and Transformer‑based architectures (e.g., GPT, BERT)
• Proven experience designing and deploying RAG systems, agentic workflows, or tool‑augmented LLM applications
• Solid understanding of model evaluation, experimentation design
• Experience debugging and improving AI systems through data analysis, prompt iteration, and pipeline optimization
• Experience with vector databases and retrieval systems
• Experience with agent frameworks and orchestration tools (e.g., Lang Chain)

• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices
• Exposure to multi‑modal models, diffusion models, mixture‑of‑experts, or model distillation
• Experience building AI systems for enterprise SaaS, regulated industries, or high‑reliability environments
• Prior experience mentoring engineers or acting as a technical lead on AI initiatives

At Intapp, you’ll get the opportunity to bring your talents and intellectual curiosity to create better outcomes for our people and our clients. You’ll be part of a growing public company, with a modern work environment that’s connected yet flexible and where your professional growth and well‑being are top priorities. We’ll collaborate and grow together, supporting each other in a positive, open atmosphere that fosters creativity, innovation, and teamwork.

• Expand Your
  
  Skills:
  
  Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.
• Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.
• Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care…