Senior Software Engineer, AI Products (Python / Agentic AI)

# Senior Software Engineer, AI Products (Python / Agentic AI)

**Salary:** $200,000–$250,000 + Competitive Equity
**Location:** New York, NY / Remote (U.S.-based; NYC metro preferred)
**Job Type:** Full-time
**Experience:** 4–15 years
**Visa Sponsorship:** Not available

## About the Role
Join a high-growth AI product team building intelligent financial software that automates complex accounting workflows. You’ll develop production-grade AI agents, backend services, and data pipelines, transforming unstructured financial data into actionable insights.

## Key Responsibilities
- Build and deploy production-ready **agentic AI systems**, including multi-step workflows, orchestration, and AI-powered product features.
- Develop scalable Python backend services and data pipelines for complex financial and document-based data.
- Own features end-to-end, from problem definition and experimentation to deployment, monitoring, and optimization.
- Design rigorous AI evaluations, benchmark alternative approaches, and measure real-world product impact.
- Automate manual accounting processes through intelligent, reliable backend systems.

## Required Qualifications
- 4–15 years of backend software engineering experience, with strong **production Python** skills.
- Proven experience shipping **AI/ML systems and agentic workflows into production**—beyond basic LLM API integrations or prompt wrappers.
- Deep backend engineering expertise and experience with data-intensive applications, document parsing, or financial data.
- Demonstrated end-to-end ownership of products or features delivering measurable customer value.
- Early-stage startup experience, ideally in a high-growth environment.
- Scientific, experimental approach to engineering, with strong AI evaluation, benchmarking, and stakeholder communication skills.
- Must be based in the United States and authorized to work without visa sponsorship.

## Preferred Qualifications
- Experience with **Elixir**, AI evaluation frameworks, or multi-agent orchestration.
- Background in machine learning, data science, or applied AI research.
- Experience building fintech, accounting automation, financial intelligence, or AI-native SaaS products.

**Ideal Candidate:** A hands-on engineer who combines strong backend fundamentals with proven production AI experience, rigorous experimentation, and a track record of turning complex problems into customer-facing products.

**Apply if you’ve built and shipped real AI systems—not just prototypes.**

Location: Remote - United States

Skills required for this job:

• AI evaluation
• Agentic AI
• Back-end development
• Benchmarking
• Document processing
• Elixir
• Financial data analysis
• Fintech
• Machine learning
• Python
• Startup development