Job Description

About InvoiceCloud

InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives. To learn more, visit  InvoiceCloud.com

Job Details
The Senior AI Engineer advances InvoiceCloud’s generative AI strategy by designing, developing, and deploying large language model (LLM) and AI-powered capabilities that enhance platform intelligence and customer experience. This role operates at the intersection of research, engineering, and product impact, owning the full lifecycle of AI solutions from rapid prototyping through scalable production deployment.
As a senior technical contributor, the role partners closely with Product, Data Science, Data Engineering, and Platform teams to translate business goals into reliable, secure, and measurable AI implementations. The Senior AI Engineer defines reusable frameworks and standards, improves developer velocity through automation and observability, and applies applied experimentation to drive meaningful outcomes.
Success Profile
At InvoiceCloud, success is anchored in our core competencies. These competencies guide how every employee delivers impact across their role
Takes Ownership

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  Owns end-to-end development and delivery of AI, ML, and LLM-powered solutions from design through production.
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  Acts as a technical authority for AI architecture, frameworks, and model lifecycle management.
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  Ensures data governance, security, compliance, and operational stability across AI deployments.
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  Proactively identifies blockers, defines mitigation approaches, and drives disciplined execution.
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  Maintains accountability for reliability, scalability, and long-term maintainability of AI systems.

Drives Efficiency

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  Improves platform intelligence, latency, scalability, and operational performance through optimization and observability.
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  Defines and applies technical KPIs for accuracy, inference performance, and system health.
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  Builds reusable components, services, and standards that accelerate AI development and reduce duplication.
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  Implements automation through MLOps pipelines, monitoring, and evaluation workflows.
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  Uses data-driven feedback loops to continuously improve model behavior and system efficiency.

Innovative

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  Evaluates and prototypes emerging AI technologies including LLMs, agentic frameworks, and multimodal systems.
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  Uses GenAI tools such as Azure OpenAI, LangChain, and Semantic Kernel to accelerate experimentation and delivery.
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  Leads applied experimentation to validate new approaches and evolve AI architecture patterns.
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  Advances self-learning, monitoring, and automation strategies that strengthen AI delivery at scale.
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  Applies creative problem-solving to complex AI challenges across the platform.

Customer Centric

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  Designs AI-powered capabilities that enhance payer engagement, personalization, and operational outcomes.
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  Collaborates with Product and Client-facing teams to ensure AI solutions align with real customer needs.
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  Incorporates feedback loops to measure business impact and refine AI behavior over time.
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  Advocates for responsible AI practices that emphasize fairness, transparency, and trust.
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  Ensures AI systems deliver predictable, high-quality experiences in customer-facing workflows.

Requirements

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  9+ years of software engineering experience, including 3+ years building AI, ML, or LLM-powered applications
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  Proven success delivering scalable, production-grade AI systems in a SaaS environment
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  Strong proficiency in Python and C#, with experience using Azure OpenAI, LangChain, Semantic Kernel, FastAPI, and vector databases
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  Deep understanding of model evaluation, prompt tuning, inference optimization, and observability
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  Experience designing, deploying, and operating AI pipelines and services
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  Strong analytical, communication, and collaboration skills
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  Experience mentoring engineers or influencing technical design and standards

InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws.

This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training.

If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact jobs@invoicecloud.com

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