Risepoint assists primarily regional universities in increasing their access and impact by making their academic programs available to students online. Founded in 2007, Risepoint's mission is to expand access to high-quality, affordable, and workforce-relevant education, especially for working and adult students. Risepoint brings single-minded dedication to student success, an integrated set of services, and data-driven performance to our collaboration with university partners.
At Risepoint, we are on a mission to redefine higher education for the modern world. We empower learners and partners by delivering transformative, scalable, and student-centric solutions. As we grow and evolve in becoming a tech-enabled higher education service company, we are committed to delivering an outstanding digital student journey grounded in care, simplicity, and real outcomes.
Role Overview
Risepoint is poised to transform the organization using AI. To drive this transformation, we are seeking an AI Engineer with deep expertise in Retrieval-Augmented Generation (RAG) and Agentic AI architectures to design and build next-generation enterprise-grade Generative AI solutions. The ideal candidate will have strong experience developing intelligent systems that seamlessly integrate with enterprise data sources, leverage cutting-edge Large Language Models (LLMs), and provide multi-channel user interactions (text, voice, and chat).
This role is critical in shaping scalable AI solutions that enhance decision-making, improve automation, and deliver personalized enterprise experiences. We are looking for someone with expertise in Evaluation Methodology, Prompt Engineering, Finetuning, Reranking, Dataset Engineering, and Inference Optimization across AI products.
Key Responsibilities
Design & Development
- Architect and implement RAG-based AI pipelines that combine LLMs with structured/unstructured enterprise data.
- Build agentic AI systems capable of reasoning, decision-making, and task execution across workflows.
- Develop conversational and multimodal interfaces (text, chat, voice).
Integration & Deployment
- Connect GenAI solutions with enterprise applications, APIs, and communication channels.
- Optimize model performance, scalability, and latency for real-world enterprise use cases.
- Implement monitoring, evaluation, and feedback loops for continuous model improvement.
Collaboration
- Work closely with product managers, data scientists, and engineers to deliver robust AI-powered features.
- Partner with enterprise stakeholders to ensure solutions meet compliance, security, and business objectives.
Innovation
- Stay current with advancements in LLMs, RAG frameworks, agentic AI patterns, and multimodal AI.
- Prototype and evaluate emerging GenAI technologies for enterprise adoption.
Qualifications & Expertise
- Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field.
- 2-3 years of experience in AI engineering, with a focus on applied Generative AI specifically 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database
- 3-5 years of software development experience
- Proven hands-on experience with RAG architectures (vector databases, embeddings, retrieval pipelines).
- Strong knowledge of LLMs (OpenAI, Anthropic, Cohere, Llama, etc.) and fine-tuning/adapter techniques.
- Experience with agentic AI frameworks (LangChain, Haystack, Semantic Kernel, LlamaIndex, etc.).
- Skilled in building multi-channel conversational AI (chat, text, and voice assistants).
- Proficiency in Python, APIs, cloud platforms (AWS/GCP/Azure), and MLFlow.
- Experience with speech-to-text / text-to-speech systems for voice interactions.
- Familiarity with enterprise data integration, security, and compliance considerations.
- Background in deploying scalable AI systems in production environments.
Risepoint Offers The Following Comprehensive Benefits
- 18 days PTO + Winter Shutdown
- 12 designated holidays + 1 floating holiday
- Medical four options
- Dental
- Vision
- Life & Disability (company paid)
- Flexible Spending Account & Health Savings Account
- Retirement plan with company match
- Maternity / Paternity / Parental Leave (company paid)
- Volunteer Time Off
Supplemental Benefits
- Wellness program
- Alternative medicine options
- Pet discounts
- Accident, Critical Illness and Hospital Indemnity
Personal And Professional Development
- Continuous Professional and Leadership Development Programs
- Tuition Reimbursement for employees and their dependents
- Rewards & Recognition programs
Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.
