Staff AI Execution Engineer

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Nitrogen

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

💸 Finance

💳 Fintech

☁️ SaaS

Finance • Fintech • SaaS

Nitrogen is a platform designed for financial advisors and wealth management firms to enhance client engagement and streamline business processes. The company offers a suite of tools, including the Riskalyze platform, which helps align client risk tolerance with investment proposals and portfolio management. Nitrogen focuses on building trust between advisors and clients by providing deep analytics, risk modeling, and seamless software integrations. With products such as the Marketing Center and Command Center, Nitrogen aids in portfolio monitoring, risk assessment, and client outreach, facilitating business growth and improving client satisfaction.

📋 Description

• Advances Nitrogen's AI capabilities with your expertise designing and shipping agentic systems into production use. • Owns the successful delivery of AI features end-to-end: from agent design and orchestration, through evaluation and hardening, to reliable production systems advisors depend on. • Builds the foundations that make agents dependable: memory systems, evaluation frameworks, and the patterns that improve agent decisions at scale. • Sets a high bar for technical productivity through deep, fluent, and consistently advancing use of agentic AI developer tools. • Pioneers AI-augmented engineering practices on the team, including prompts, harness configurations, and multi-agent orchestration, and shares them so the whole team moves faster. • Delivers high-quality, production-grade features at a velocity that meaningfully exceeds traditional engineering throughput, while reliably meeting commitments. • Provides architectural leadership across AI systems and the services and data flows that support them. • Maintains a deep understanding of what our domain-specific data means to our customers and their 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, particularly in building and shipping AI systems. • Demonstrates a continuous improvement mindset in both personal development and all technical workflows.

🎯 Requirements

• **Agentic Engineering.** You operate at the leading edge of AI-augmented engineering. Tools like **Claude Code, Devin, and Cursor **are core to how you build, not adjuncts to a traditional workflow. You direct multiple agents in parallel and use them to amplify staff-level judgment rather than replace it. • **AI Systems & Products.** You've shipped AI systems into production use, not just prototypes. You build agentic workflows, agent memory, and orchestration, and you know what it takes to make them reliable, observable, and safe for real users. • **Evaluation & Quality at Scale.** You deeply understand the evaluation frameworks that improve agent decisions at scale. You design evals, measure agent behavior rigorously, and turn those signals into systems that get measurably better over time. • **AI Tooling & Frameworks.** You're fluent with the frameworks that power modern AI systems, including **LangChain, LangGraph, GraphQL, and MCP**. You evaluate and adopt new tools faster than your peers and can articulate where each one fits. • **AI-Native Productivity.** You demonstrably ship more, with higher quality, than traditional throughput allows. You've internalized the disciplines that make agentic tooling pay off: clear specs, tight feedback loops, rigorous review of agent output, and deliberate context engineering. • **Experience.** You bring **8+ years** of hands-on engineering experience, with substantial depth building production systems and the judgment to know how data engines and pipelines work inside and out. • **Technical Leadership.** You are a trusted technical authority that others turn to for solving the most challenging problems and making high-impact decisions. You've given tech talks internally or at conferences. You actively mentor others, reduce knowledge silos, and raise the team's overall capability. • **Data Fluency.** You're comfortable with **SQL & Python in Snowflake & dbt** and the realities of messy real-world data. Experience with CDC, APIs, and services such as **DMS, OpenFlow, Kafka**, or similar is a strong plus.

🏖️ Benefits

• 4% 401(k) Match. Our employees invest so much in our company and we love getting to invest in them. The company will match your contributions dollar-for-dollar, up to 4% of your total annual compensation. • Free Financial Planning Services. By working at a financial technology company, you get the benefit of fantastic financial advice. This is offered to all employees wanting expert guidance on how to handle their money. • Medical, Dental & Vision insurance plans. We want to help keep you (and your family) healthy! Comprehensive health insurance options for you & your family. • Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA) available depending on chosen medical plan. We know that investment risk isn’t a one-size-fits all and neither are your health savings options! • Generous maternity & paternity leave for either the birth or adoption of a child. Mom's & Dad's need time with their new family members! • Discounted pet insurance available. Pets are family too!! • 3 weeks vacation & 1 week sick time per year. Take the time you need for fun or simply time to recover from not feeling well. • 11 paid company holidays per year. Enjoy your time off; you deserve it! • Remote & in-person team building activities help our employees stay connected and engaged. We absolutely love to hype our people up! • Company wide meetings held by our CEO benefit all employees by keeping everyone in the loop. We are one team, and we tackle projects together. • Employee development is our priority. From leadership training, to mentorship, to industry resources, we care about progressing you in your career.