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Advanced Drainage Systems, Inc. Logo

Senior AI Software Engineer

Advanced Drainage Systems, Inc.

Salary not specified
Aug 15, 2025
Hilliard, OH, US
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Advanced Drainage Systems is looking for a Senior AI Software Engineer to lead the development of intelligent systems, including agentic AI, copilots, and advanced prompt engineering strategies, to enhance productivity and decision-making across the enterprise.

Requirements

  • Hands-on experience with LLMs (e.g., GPT, Claude, Gemini) and frameworks like LangChain , Semantic Kernel, or OpenAI Function Calling.
  • Deep understanding of prompt engineering, including few-shot learning, chain-of-thought prompting, and system message design.
  • Experience building agentic systems using tools Azure AI, Ag entforce , Mulesoft or custom orchestration frameworks.
  • Proficiency in Python and ML libraries (e.g., PyTorch , TensorFlow, Hugging Face Transformers).
  • Familiarity with cloud platforms (Azure)
  • Experience with multi-agent coordination, tool use, and memory management in AI systems.
  • Experience integrating AI copilots into enterprise applications (e.g., ERP, CRM, productivity tools).

Responsibilities

  • Architect and implement agentic AI systems capable of autonomous decision-making and task execution.
  • Design and develop AI copilots that assist users in complex workflows across business domains.
  • Create and optimize prompts for large language models (LLMs) to ensure accurate, contextually relevant, and safe outputs.
  • Collaborate with UX designers and product managers to integrate AI copilots into user-facing applications.
  • Develop reusable prompt templates and fine-tuning strategies for domain-specific tasks.
  • Evaluate and implement retrieval-augmented generation (RAG), tool use, and memory systems for agentic AI.
  • Monitor and improve model performance, safety, and alignment with business goals.

Other

  • 5+ years of experience in AI/ML development, with a strong background in software engineering.
  • Strong problem-solving skills and ability to work in fast-paced, cross-functional teams.
  • Creative Problem Solving : Ability to apply AI to novel use cases and business challenges.
  • Rapid Prototyping : Skilled in quickly building and iterating on AI prototypes and copilots.
  • Research Translation : Ability to translate cutting-edge AI research into practical, real-world applications.