Engineer, Applied AI

National Debt Relief is seeking an Applied AI Engineer to build and deploy production-ready generative AI solutions for client-facing and internal platforms. The role owns technical execution across chatbots, AI agents, document processing, and RAG applications, collaborating with product, data, engineering, digital teams, and vendors.

Responsibilities:

• Design, prototype, and deploy Generative AI solutions across NDR’s client-facing and internal platforms
• Build and optimize applications using large language models (LLMs), vector databases, prompt engineering, and Retrieval-Augmented Generation (RAG) pipelines
• Own hands-on development of AI-powered chatbots using modern conversational AI frameworks, ensuring production-grade performance, scalability, and compliance
• Collaborate on development of AI agents for both digital and voice channels, supporting real-time interactions with clients and internal users
• Work with external vendors to evaluate GenAI platforms and APIs, integrate off-the-shelf solutions, and support production rollouts
• Build proof-of-concept (POC) applications to evaluate emerging use cases in document classification, summarization, AI-powered knowledge assistants, and more
• Optimize prompt structures, parameter tuning, and model usage to improve cost-effectiveness and accuracy of deployed AI solutions
• Partner with the ML/AI Ops Engineer to ensure robust data pipelines, deployments, and observability for GenAI applications
• Work closely with the Senior Generative AI Product Manager to align technical implementation with user needs, timelines, and business priorities
• Participate in architectural design discussions with digital, product, and engineering teams to align AI integration across the enterprise

Requirements:

• Bachelor's degree in data science, Computer Science, Statistics, or a related field required
• 4 years of experience in machine learning, NLP, or AI engineering, with recent focus on Generative AI
• Proven, hands-on experience building and deploying production-grade AI chatbots in the past 2 years
• Expert-level Python programming skills, including experience with modern ML and GenAI libraries (e.g., LangChain, Transformers, OpenAI, Hugging Face)
• Proficiency in working with vector databases (e.g., FAISS, Pinecone, Chroma, Weaviate) and building RAG pipelines
• Experience with prompt engineering, model tuning, API orchestration, and LLM evaluation strategies
• Solid SQL skills and understanding of how to work with data stored in platforms like Snowflake
• Comfortable working in fast-paced, collaborative environments with product managers, engineers, and vendors
• Strong communication skills with the ability to explain complex AI behavior and performance to non-technical stakeholders
• Ability to foster a culture of collaboration, continuous improvement, and innovation
• Computer competency and ability to work with a computer
• Prioritize multiple tasks and projects simultaneously
• Exceptional written and verbal communication skills
• Use and navigate multiple computer systems with exceptional multi-tasking skills
• Remain calm and professional during difficult discussions
• Take constructive feedback
• Experience in financial services or a related industry
• Experience deploying voice AI or conversational AI agents in telephony environments
• Familiarity with Snowflake, dbt, and data pipelines used in support of AI solutions
• Experience working with or integrating Salesforce data and workflows
• Exposure to GenAI use cases including document understanding (OCR/NLP), summarization, or personalized insights
• Prior experience supporting regulated environments or customer service applications