AI Staff Engineer
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
About InvoiceCloud:
InvoiceCloud is a fast-growing fintech company with an award-winning culture and a leading disruptor in the electronic bill presentment and payment (EBPP) space. Serving more than 3200 customers across the utility government and insurance industries InvoiceClouds secure and innovative SaaS platform enhances the customer experience driving higher digital payment AutoPay and paperless adoption rates. By switching to InvoiceCloud clients can improve customer engagement and satisfaction while lowering costs accelerating payments and reducing staff workloads. To learn more visit.
Position Overview:
The Staff AI Engineer plays a critical role in advancing InvoiceClouds generative AI strategy by designing developing and deploying large language model (LLM) and AI-driven capabilities that enhance the InvoiceCloud platform and customer experience. This role operates at the intersection of research engineering and product impact leading the end-to-end lifecycle of AI solutions from rapid prototyping through scalable production deployment.
As a technical expert the Staff AI Engineer partners with Product Data Science Data Engineering and Platform teams to translate business goals into reliable measurable and secure AI implementations. The role drives innovation through applied experimentation defines reusable frameworks and standards for AI integration and improves efficiency through automation and observability.
Success in this position means delivering real customer and business outcomes improving platform intelligence developer velocity and operational efficiency while shaping the technical direction for how AI is built and delivered at InvoiceCloud.
Success Profile:
This role is anchored in four of our companys core competencies. These competencies reflect the mindsets and behaviors that define success in this role. We outline how each competency translates into real-world actions and outcomes specific to this role.
Results Driven
- Leads end-to-end development of AI/ML and generative models that deliver measurable performance reliability and ROI.
- Defines technical KPIs for scalability latency and accuracy ensuring all models align with business outcomes.
- Collaborates with engineering leadership to translate strategy into executable AI roadmaps that drive platform innovation.
- Working with AI Product Strategy Lead to engage customers and prospects to refine our go-to-market and ensure product success.
Takes Ownership
- Acts as a domain authority for AI architecture frameworks and lifecycle management.
- Partners with cross-functional teams to ensure data governance compliance and operational stability of deployed AI systems.
- Proactively resolves blockers defines governance routines and ensures disciplined delivery against milestones and quality standards.
Innovative
- Evaluates prototypes and integrates emerging AI technologiessuch as LLMs agentic frameworks and multimodal systemsto strengthen platform capabilities.
- Pioneers automation strategies leveraging MLOps model monitoring and self-learning pipelines to optimize performance.
- Uses GenAI tools (e.g. Azure/OpenAI LangChain Semantic Kernel) to streamline model development automate feature generation and accelerate experimentation cycles.
Customer Centric
- Designs AI-powered solutions that enhance the end-customer experience improving personalization engagement and payment outcomes.
- Collaborates closely with Product and Client Success teams to align AI initiatives with customer needs and feedback loops.
- Advocates for responsible AIensuring fairness transparency and trust in all deployed solutions.
Requirements
- 8 years of software engineering experience including 3 years building AI/ML or LLM-powered applications.
- Demonstrated success delivering scalable AI systems in production environments in a SaaS product environment.
- Expertise with Python and one or more of C/C#; experience with Semantic Kernel LangChain Azure OpenAI and vector databases.
- Familiarity with model evaluation prompt tuning and performance optimization.
- Strong cross-functional communication and technical mentorship skills; thrives in a collaborative high-ownership environment.
Base salary is onecomponentof total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay. The aboverepresentsthe expected base compensation range for this job requisition.Ultimately indeterminingyour paywellconsider many factors including but not limited to skills experience qualifications geographic location and other job-related factors.
InvoiceCloud is an Equal Opportunity Employer.
InvoiceCloud provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
If you have a disability under the Americans with Disabilities Act or similar law or you require a religious accommodation and you wish to discuss potential accommodations related to applying for employment at our company please contact .
Click here to review InvoiceClouds Job Applicant Privacy Policy.
To all recruitment agencies:InvoiceCloud does not accept agency resumes. Please do not forward resumes to our jobs alias employees or any other organization location. Invoice Cloud is not responsible for any fees related to unsolicited resumes.
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
Invoice Cloud provides simple online electronic bill payment solutions that improve customer engagement and increase e-payment adoption. Schedule A Demo Today.
