Sr. AI Engineer
How You’ll Make An Impact
- Build and scale production LLM-powered services, including context engineering, prompt design, and agentic workflows
- Develop and operate autonomous AI agents, owning the full lifecycle from prototype to ongoing maintenance
- Design and execute evaluations for AI/ML systems to drive architectural decisions and share findings cross-functionally
- Contribute to shared AI platforms and internal tooling that enable other teams to deploy and monitor AI features
- Write production-grade Python code designed for long-term extensibility and team ownership
- Serve as a technical consultant to product and UX teams on AI feasibility, tradeoffs, and architecture
- Monitor and optimize AI/ML services for latency, cost-efficiency, and high-volume throughput
- Troubleshoot production system health and identify solutions to reduce technical debt and performance degradation
- Design AI capabilities with strict adherence to data privacy and compliance standards for financial data
- Stay current on emerging AI/ML techniques to raise the collective engineering standard of the team
The Expertise You’ll Bring
- 3+ years of professional software or AI/ML engineering experience with a focus on production
- Proven track record of developing, running, and evaluating autonomous agents in a production environment
- Strong Python proficiency with the ability to write clean, maintainable, and reliable code
- Solid understanding of agent architectures and the ability to resolve system failures under time pressure
- Knowledge of performance optimization, including latency, throughput, and cost management for AI services
- Familiarity with data privacy and compliance considerations for systems handling sensitive financial data
- Experience with various LLM models (OpenAI, Anthropic, open-source) and modern AI development tools
- Ability to communicate complex technical concepts and tradeoffs to both technical and non-technical partners
- Full end-to-end AI/ML lifecycle experience including ideation, deployment, and maintenance at scale
- Practical experience with the AWS AI/ML stack and document processing using LLMs
- Experience mentoring other engineers
- Familiarity with uv for Python project management
Base Pay Range
$169,752 - $206,200 a year
Benefits
- Annual employee development program stipend of $2,000 for each employee
- Mentorship program (available immediately)
- Sabbatical program (4 weeks after 5 years of service)
- Advancement opportunities based on results, not politics
- 401(k) plan with employer matching
- Signing stipend for a work-from-home setup
- Catered lunches every Tuesday & Thursday (when in office)
- Free gym membership at our office (Atlanta HQ)
- Casual dress environment (when in office)
- Great health benefits with multiple plan options
- Flexible PTO (including 11 holidays and your birthday off)
- Annual tutoring stipend for your children
About Us
FinQuery is an AI-powered contract management and accounting automation company trusted by over 8,000 organizations worldwide. Serving public, private, and government entities, we specialize in automating the accounting for an organization's largest areas of spend—including leases, prepaids, and accruals. Our intelligent platform abstracts and consolidates source documents to provide a complete system of record. This is what sets us apart: we are the only provider offering this unified view, giving our customers the insight needed to control costs, ensure compliance, and solve the problems that matter most.
FinQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, and disability status. FinQuery maintains a drug-free workplace.