BillGO · 1 day ago
Staff Engineer - AI
Fort Collins, CO
Full-time
Onsite
Lead/Staff
$173K/yr - $263K/yr
10+ years expBillGO, Inc. is building the next generation of payment and money movement infrastructure for small businesses, and they are seeking a Staff AI Engineer to shape the future of payments with AI. This role involves designing and shipping AI/ML systems, leading technical initiatives, and ensuring the reliability and security of AI-driven decisions in a regulated financial environment.
Financial ServicesFinTechPayments
Responsibilities
Design and ship AI/ML systems embedded directly in B2B payment flows, including:
Payment prioritization and acceleration
Cash-flow forecasting and predictive insights
Automated reconciliation, exception handling, and workflow orchestration
Balance accuracy, latency, explainability, reliability, and cost in business-critical systems
Own model behavior in real-world production environments, not just offline metrics
Partner with Product, Engineering, Operations, and Finance to:
Automate internal workflows using ML and LLMs
Replace manual reviews and heuristics with intelligent systems
Reduce cost-to-serve while increasing throughput and quality
Build AI tools and platforms that allow small teams to operate at scale
Own the end-to-end lifecycle of AI systems: problem framing, architecture, data and feature design, deployment, monitoring, and continuous improvement
Define architectural direction for AI-enabled platforms and workflows spanning multiple teams and domains
Act as a senior technical leader and force multiplier, providing clarity, judgment, and direction across concurrent initiatives
Evaluate and adopt AI, data, and automation technologies where they deliver measurable business value
Influence execution through technical leadership rather than formal authority
Build production-grade AI systems embedded in business-critical operational workflows (e.g., payments, risk review, support triage)
Design decision systems combining rules, ML inference, and self-healing capabilities
Operate and evolve ML infrastructure including:
Model serving and inference pipelines
Feature engineering and online/offline consistency
Monitoring for data quality, model performance, and system health
Work with modern cloud-native architectures: event-driven systems, streaming pipelines, and real-time processing
Make informed build-vs-buy decisions for AI and data platforms
Design AI systems that meet the demands of regulated financial environments
Ensure security, privacy, auditability, and explainability of AI-driven decisions
Implement safe deployment practices such as shadow mode, canary releases, back testing, and rollback
Proactively identify and mitigate risks related to bias, failure modes, and unintended system behavior
Qualification
Required
10+ years of professional software engineering experience, with significant ownership of production systems
Proven experience shipping AI / ML enabled systems into real-world production
Experience with payments, banking, or financial infrastructure is a strong plus
Strong proficiency in one or more backend languages (Java, C#, Python)
Deep understanding of distributed systems and modern architectural patterns
Experience with cloud platforms (AWS and/or Azure), microservices, and event-driven systems
Hands-on experience with CI/CD, containerization (Docker), and Kubernetes
Strong understanding of production ML systems, including: Model inference and serving, Feature engineering and data quality, Monitoring and operating ML models (MLOps)
Experience with LLMs or modern AI systems in production is a strong plus
Comfortable operating in ambiguity and making decisions with imperfect information
Strong technical judgment with a bias toward action
Clear communicator who can influence both technical and non-technical partners
Builder's mindset with a focus on measurable impact
Company
BillGO
BillGO is changing the status quo with a modern bill managements and payments platform.
51-200 employees
H1B Sponsorship
BillGO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (3)
2022 (9)
2021 (8)
2020 (5)
Funding
Current Stage
Growth StageTotal Funding
$118.67MKey Investors
BankTech VenturesUSAA
2023-10-18Series B· $5M
2020-08-05Series Unknown· $60M
2020-07-01Series Unknown· $12.17M
Leadership Team
Dan Holt
CEO, Co-Founder
Recent News
Crowdfund Insider
2025-10-27
Payments Dive
2025-07-03
Google Patent
2025-05-04
Company data provided by crunchbase