Role Description As the Lead ML/AI Engineer, you will be the technical heart of our post-sales delivery organization. You will be a hands-on, player-coach responsible for leading the team that brings our AI solutions to life for our customers. This role is perfect for a seasoned MLOps expert with a passion for automation, quality, and leadership, who thrives on solving complex technical challenges and ensuring customer success. - Lead the Technical Delivery Team: Lead, mentor, and provide technical guidance to a team of ML/AI Engineers and AI Infrastructure Specialists. You will be the ultimate owner of the technical quality, reliability, and performance of all deployed solutions. - Design and Implement MLOps Pipelines: Architect, design, and implement robust and automated CI/CD pipelines specifically for AI/ML models and applications. - Oversee Production AI Systems: Take charge of the operational strategy for our clients' AI environments, including monitoring, scaling, maintenance, and security of production AI systems. - Manage Project Delivery and Issues: Concurrently manage the technical execution of multiple customer-facing project delivery activities and resolve issues impacting project timeline, cost, scope, or effectiveness. - Drive Stakeholder Communication: Lead the presentation of project delivery status, performance metrics, and technical issue resolution plans to both internal and external audiences. Qualifications - 7+ years of experience in software engineering, DevOps, or ML engineering, with at least 2 years in a technical leadership, mentorship, or lead engineer capacity. - Deep, hands-on experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI, Actions) and infrastructure-as-code (e.g., Ansible, Terraform, Puppet). - Strong, production-level experience with containerization (Docker) and container orchestration (Kubernetes). - Proficiency with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK Stack). - Excellent problem-solving and troubleshooting skills, especially in complex, distributed systems. Requirements - Specific experience with MLOps platforms and tools (e.g., Kubeflow, MLflow, Seldon Core). - Hands-on experience with the NVIDIA AI Enterprise stack, particularly Triton Inference Server, TensorRT-LLM, and NeMo. - Experience in a customer-facing professional services or consulting role. - Strong scripting and programming skills, particularly in Python or Go. - Experience with deploying and managing infrastructure in both public cloud (AWS, Azure, GCP) and on-premises data center environments. Location This is a remote position in the United States. Travel Flexible (with travel to client sites and Penguin Solutions offices as needed). Compensation & Benefits - The base pay range that the Company reasonably expects to pay for this position in the United States is $175,000 - $215,000. - The position is bonus-eligible. - Medical, dental, and vision benefits available. - 401k saving plan. - Other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan. Inclusion & Belonging Statement We are committed to creating an inclusive environment that embraces differences and fosters belonging for all. Equal Opportunity Statement We are an Affirmative Action/Equal Opportunity Employer and strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, national origin, race, ethnicity, creed, gender, disability, veteran status, or any other characteristic protected by law.

Role Description Peer Mentors support people with developmental disabilities to live, work and belong in their communities. - Help people to be independent - Learn problem-solving and self-advocacy skills - Build self-esteem and self-confidence - Set goals and make action plans - Prepare for their Person-Centered Planning (PCP) meetings and provide support at the meeting, if asked - Connect to resources for public benefits, health and wellness, housing, employment, transportation, training and education, advocacy, and recreation Peer Mentors are expected to: - Share their personal life experiences about reaching goals - Share how they used services and supports to reach their goals - Share how they became more self-directed and self-empowered - Build positive, trusting relationships - Make a safe, understanding space for people to talk about their problems and challenges Qualifications - 18 years old - Have an intellectual/developmental disability (IDD) - Willingness to share personal experiences to guide and support others - Experience receiving disability-related supports and services - Understand and explain individual rights - Obtain certification as a Peer Mentor by attending Peer Mentor 101 training and successfully complete a 90-hour internship - Ability to work in-person and virtually - Ability to use phone, email, computer, and virtual technology - Preferred experience: - Lives or has lived independently (with or without support, not in your family home) - Has or has had a job in the community - Is actively involved in your community Requirements - Ability to be excited, honest, and upbeat with people - Ability to listen closely and work to find solutions to problems - Ability to support people to develop Self-Determination skills - Ability to find services and resources - Knowledge about local agencies - Ability to develop relationships with agencies Duties and Responsibilities - Peer Mentoring (70% of their work time): - Create good relationships with people they mentor - Get to know the people’s hopes and dreams - Develop a list of goals and action steps with people - Assist people in building their circle of support - Assist people to connect with community resources to meet their goals - Serve as an advocate with family members and friends to assist the people in having self-direction - Participate in the person-centered planning process, when invited - Spend time with people to support them to reach their goals - Medicaid reporting: log the date of your meetings, the length of time of your meetings, what you talked about, if it was in-person or virtual meeting, next steps with the action plan. This reporting may be done using a computer. - Ongoing Peer Mentor Training and Networking (15% of their work time): - Attend trainings in person or virtually to improve skills with mentoring, person-centered planning, independent facilitation, self-determination, community inclusion, employment, health and wellness, independent living, and transportation - Stay involved with the Peer Mentor group through monthly and quarterly virtual meetings and other scheduled meetings - Attend an in-person Peer Mentor retreat once a year - Present about Peer Mentoring and self-determination at conferences, trainings and other events, when asked - Provide group peer education on self-advocacy, self-determination, and rights - Agency Requirements (10% of their work time): - Attend agency new employee orientation and training - Complete all State, County, and agency training requirements - Follow all agency policies and procedures, including code of conduct and ethics - Educational Support (5% of their time): - Share information at meetings for people, staff, and funders about the role of a Peer Mentor and Peer Mentor services

Role Description 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 - 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. Qualifications - 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. Requirements - 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. The salary for this position is $129,500.00 to $149,000.00. Benefits - 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 Company Description 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. 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.

Role Description We are seeking a Principal AI Engineer to design, build, and scale AI-driven systems across our product platforms. This role is ideal for a deeply technical engineer who leads through hands-on contribution, solves complex problems, and drives the adoption of AI into real-world products. The ideal candidate brings strong backend and cloud fundamentals, mandatory experience with Java and AWS, and proven experience integrating AI and Generative AI capabilities into production systems. You will work closely with product, architecture, and engineering teams to deliver reliable, scalable, AI-enabled solutions that create meaningful business impact. Key Responsibilities - AI Engineering & System Design - Design, build, and operate AI-powered applications, including LLM-based services, ML-driven workflows, and intelligent automation. - Integrate AI capabilities into Java-based backend systems and cloud-native platforms. - Design scalable API-first services (REST & GraphQL) exposing AI capabilities across products. - Implement data pipelines supporting feature engineering, retrieval-augmented generation (RAG), vector search, and inference. - Apply best practices for prompt design, model orchestration, evaluation, and observability. - Cloud & Platform Engineering (AWS – Must Have) - Build and operate cloud-native AI systems on AWS, including EC2, S3, RDS, Lambda, and EKS. - Design containerized workloads using Docker and Kubernetes (EKS). - Optimize systems for scalability, latency, reliability, and cost efficiency. - Implement Infrastructure as Code using Terraform or AWS CDK. - Data & Distributed Systems - Design and operate relational (SQL) and NoSQL data stores for high-scale, distributed systems. - Make informed trade-offs around data consistency, availability, and performance. - Work with event-driven and asynchronous architectures where appropriate. - Technical Leadership & Impact - Lead complex technical initiatives end-to-end, from design through production deployment. - Influence system design and engineering standards across teams through design reviews and technical guidance. - Mentor senior engineers and raise the overall bar for AI and cloud engineering excellence. - Collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities. Qualifications - 8–10 years of hands-on software engineering experience building large-scale, production systems. - Strong, hands-on experience with Java in backend and distributed systems. - Mandatory, hands-on experience with AWS, including designing and operating cloud-native workloads. - Strong experience with SQL and NoSQL databases in production environments. - 3+ years of experience building AI-powered applications, including ML or LLM-based systems. - Experience with API-first architectures (REST, GraphQL). - Hands-on experience with Docker and Kubernetes (EKS). - Strong problem-solving skills and ability to own systems end-to-end. Nice to Have - Experience with Generative AI platforms and frameworks (AWS Bedrock, OpenAI APIs, LangChain, LlamaIndex). - Experience with vector databases and semantic search. - Familiarity with MLOps practices, model monitoring, and evaluation frameworks. - Experience working in product-driven, agile environments. Leveling Guidance - Senior AI Engineer: Owns complex components and services; strong execution and technical depth. - Principal AI Engineer: Owns multi-team technical initiatives; influences architecture and engineering standards across the organization. Benefits - Real AI Impact: Build AI systems that ship, scale, and deliver customer value. - Hands-On Leadership: Lead through deep technical contribution. - Modern Stack: Java, AWS, Kubernetes (EKS), SQL/NoSQL, and Generative AI. - Collaboration: Work with strong product, data, and engineering partners. - Core Values: Be part of a company that lives by Shattering Boundaries, Sparking Greatness, and Sharing Success.