Full-Time Senior AI Engineer

Ascend is a fast-growing SaaS company automating invoice processing and payments for mid- and large enterprise customers. Our flagship product leverages AI, real-time ERP integrations, and embedded payments technology to save customers millions. Our customer base includes well-known companies like NASCAR, Panera Bread, etc. Ascend is fully remote, offering competitive pay, unparalleled 401(k) matching, unlimited time off, and opportunities for career growth.

As a Senior AI Engineer, you will lead strategy and execution in applying Generative AI, LLMs, and advanced ML techniques to high-impact problems in invoice automation and payments. You will work cross-functionally with engineers, product, and business stakeholders to create scalable, compliant, and effective AI solutions, bringing cutting-edge innovation to real-world workflows.

Daily responsibilities include:

• Leading the design, development, and deployment of sophisticated AI/ML models (especially LLMs and multi-agent Gen AI architectures).
• Collaborating with stakeholders to identify high-impact AI use cases and propose innovative solutions.
• Training and fine-tuning foundation models using transfer learning, self-supervised learning, and domain adaptation.
• Building, scaling, and optimizing AI workloads using cloud-native technologies (Kubernetes, Argo, TensorFlow).
• Ensuring AI solutions meet enterprise governance, security, and compliance standards.
• Partnering with Product Management to define the Gen AI roadmap.
• Coaching and mentoring a distributed AI engineering team.
• Justifying the value and ROI of AI solutions through rigorous methodology.
• Creating technical documentation and capturing intellectual property.
• Collaborating with academic and industry partners.

Requirements include:

• Proven experience in developing and deploying Gen AI and LLM-based solutions.
• Deep understanding of modern AI/ML architecture, especially generative models and multimodal learning.
• Strong software engineering skills, particularly around ML infrastructure and backend services.
• 5+ years of machine learning experience, with 2+ years in LLM-based or GenAI production deployments and 2+ years building large-scale AI applications.
• Proficiency in at least three of these technologies: PyTorch, HuggingFace Transformers, LangChain, vector DBs (Pinecone, Weaviate, FAISS), Prompt engineering, OpenAI or Claude APIs, Containerized model deployment (Docker, Argo, Kubernetes), Fine-tuning methods (LoRA, QLoRA, PEFT).
• Exceptional communication and collaboration skills.
• Bachelor’s degree in Computer Science preferred.

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