应用AI工程师
Engineer, Applied AI
国家债务减免（NDR）正在寻找技术能力出色且对技术充满好奇心的应用AI工程师，加入我们不断壮大的数据与AI组织。向应用AI总监汇报，这些职位将是应用AI团队的核心成员，负责企业级生成式AI（GenAI）解决方案的实际实施。这是一个令人兴奋的机会，可以构建和部署真实世界、可投入生产的AI应用程序，以改善客户体验、优化内部运营，并实现大规模的智能自动化。
作为应用AI工程师，你将负责生成式AI项目的实际执行——从原型设计到部署。你将与内部的产品、数据、工程和数字团队以及外部供应商紧密合作，交付由大语言模型（LLM）、RAG管道和对话式AI驱动的实用解决方案。你的工作将涵盖聊天机器人开发、文档处理、摘要、语音AI和AI驱动的分析。这个职位适合有近期部署生产级生成式AI解决方案经验的AI从业者，并希望在一个快速发展的应用环境中继续构建。
职责
- 在NDR面向客户的和内部的平台上设计、原型设计并部署生成式AI解决方案。
- 使用大型语言模型（LLM）、向量数据库、提示工程和检索增强生成（RAG）管道构建和优化应用程序。
- 负责使用现代对话式AI框架开发AI驱动的聊天机器人，确保生产级别的性能、可扩展性和合规性。
- 与数字和语音渠道的AI代理开发团队合作，支持与客户和内部用户的实时互动。
- 与外部供应商合作评估生成式AI平台和API，集成现成解决方案，并支持生产部署。
- 构建概念验证（POC）应用程序，评估文档分类、摘要、AI驱动的知识助手等新兴用例。
- 优化提示结构、参数调优和模型使用，以提高已部署AI解决方案的成本效益和准确性。
- 与机器学习/AI运维工程师合作，确保生成式AI应用程序的数据管道、部署和可观测性稳健。
- 与高级生成式AI产品经理紧密合作，确保技术实现符合用户需求、时间表和业务优先级。
- 参与架构设计
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Overview
National Debt Relief (NDR) is seeking highly skilled and technically curious Applied AI Engineers to join our growing Data & AI organization. Reporting to the Director of Applied AI, these roles will be foundational members of the Applied AI team responsible for the hands-on implementation of enterprise-grade Generative AI (GenAI) solutions. This is an exciting opportunity to build and deploy real-world, production-ready AI applications that transform client experiences, optimize internal operations, and unlock intelligent automation at scale.
As an Applied AI Engineer, you will own the technical execution of GenAI initiatives — from prototyping to deployment. You’ll work closely with internal product, data, engineering, and digital teams, as well as external vendors, to deliver practical solutions powered by LLMs, RAG pipelines, and conversational AI. Your work will span chatbot development, document processing, summarization, voice AI, and AI-driven analytics. This role is ideal for AI practitioners who have recent experience deploying production-grade GenAI solutions and want to continue building in a fast-moving, applied environment.
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.
Qualifications
Education/Experience:
- 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.
Required Skills/Abilities:
- 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.
Preferred Skills/Abilities:
- 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.
National Debt Relief Role Qualifications:
- Computer competency and ability to work with a computer.
- Prioritize multiple tasks and projects simultaneously.
- Exceptional written and verbal communication skills.
- Punctuality expected, ready to report to work on a consistent basis.
- Attain and maintain high performance expectations on a monthly basis.
- Work in a fast-paced, high-volume setting.
- Use and navigate multiple computer systems with exceptional multi-tasking skills.
- Remain calm and professional during difficult discussions.
- Take constructive feedback.
- Available for full-time position.
Compensation Information
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job-related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $129,500.00 to $149,000.00About National Debt Relief
National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most-trusted and best-rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives.
Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.
Want to learn more about who we are? Connect with us on social!
Benefits
National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.
Our extensive benefits package includes:
- Generous Medical, Dental, and Vision Benefits
- 401(k) with Company Match
- Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
- 12 weeks Paid Parental Leave
- Pre-tax Transit Benefits
- No-Cost Life Insurance Benefits
- Voluntary Benefits Options
- ASPCA Pet Health Insurance Discount
- Wellness Incentive Program
National Debt Relief is a certified Great Place to Work®!
National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.
For information about our Employee Privacy Policy, please see hereFor information about our Applicant Terms, please see here
Originally posted on Himalayas