Staff AI Execution Engineer
About The Position
Nitrogen equips financial advisors with AI-powered products to showcase advice value, attract clients, and foster fearless investing. Our connected suite integrates Risk Alignment, Investment Research, Income Planning, Tax Intelligence, and Legacy Planning, using agentic AI and deterministic analytics to simplify financial insights into persuasive visuals. This leads to clearer conversations, stronger relationships, and advisors who can demonstrate their value effectively. Nitrogen is trusted by tens of thousands of advisors, boasts an industry-leading NPS of 71, and is the first wealthtech company with ISO 42001 certification. With 13 years of advisor data and half a trillion dollars in assets on the platform, we invented the Risk Number®, based on Nobel Prize-winning academic frameworks, and champion the Fearless Investing Movement.
Requirements
- Operates at the leading edge of AI-augmented engineering, using tools like Claude Code, Devin, and Cursor as core to the building process.
- Directs multiple agents in parallel, using them to amplify staff-level judgment.
- Shipped AI systems into production use, not just prototypes.
- Builds agentic workflows, agent memory, and orchestration, with knowledge of reliability, observability, and safety for real users.
- Deeply understands evaluation frameworks that improve agent decisions at scale, designs evals, measures agent behavior rigorously, and translates signals into systems that improve over time.
- Fluent with AI system frameworks including LangChain, LangGraph, GraphQL, and MCP.
- Demonstrably ships more, with higher quality, than traditional throughput allows, internalizing disciplines like clear specs, tight feedback loops, rigorous review of agent output, and deliberate context engineering.
- 8+ years of hands-on engineering experience, with substantial depth in building production systems and understanding data engines and pipelines.
- Trusted technical authority, sought for solving challenging problems and making high-impact decisions.
- Experience giving tech talks internally or at conferences.
- Actively mentors others, reduces knowledge silos, and raises the team's overall capability.
- Comfortable with SQL & Python in Snowflake & dbt and handling real-world data.
- Experience with CDC, APIs, and services such as DMS, OpenFlow, Kafka, or similar is a strong plus.
Nice To Haves
- Experience with CDC, APIs, and services such as DMS, OpenFlow, Kafka, or similar is a strong plus.
Responsibilities
- Advances Nitrogen's AI capabilities with expertise in designing and shipping agentic systems into production.
- Owns the end-to-end delivery of AI features, including agent design, orchestration, evaluation, hardening, and reliable production systems.
- Builds foundational elements for dependable agents, such as memory systems, evaluation frameworks, and patterns to improve agent decisions at scale.
- Sets a high standard for technical productivity through deep and advancing use of agentic AI developer tools.
- Pioneers AI-augmented engineering practices (prompts, harness configurations, multi-agent orchestration) and shares them to accelerate team progress.
- Delivers high-quality, production-grade features with velocity exceeding traditional engineering throughput, while meeting commitments.
- Provides architectural leadership for AI systems and their supporting services and data flows.
- Maintains a deep understanding of domain-specific data and its impact on customer product experience.
- Proactively identifies and addresses technical debt and developer experience gaps, advocating for AI-enhanced solutions.
- Mentors and elevates the technical skills of fellow engineers, especially in building and shipping AI systems.
- Demonstrates a continuous improvement mindset in personal development and technical workflows.
Benefits
- 4% 401(k) Match
- Free Financial Planning Services
- Medical, Dental & Vision insurance plans
- Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA) available
- Generous maternity & paternity leave
- Discounted pet insurance
- 3 weeks vacation & 1 week sick time per year
- 11 paid company holidays per year
- Remote & in-person team building activities
- Company wide meetings held by our CEO
- Employee development programs including leadership training, mentorship, and industry resources
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
