Nitrogen Logo

Nitrogen

Staff AI Execution Engineer

Posted 21 Days Ago
Remote
Hiring Remotely in United States
200K-220K Annually
Senior level
Remote
Hiring Remotely in United States
200K-220K Annually
Senior level
Lead design, build, and production of agentic AI systems: architect agent workflows, memory, orchestration, and evaluation frameworks. Provide technical leadership, mentor engineers, and deliver reliable, observable AI features integrated with data platforms.
The summary above was generated by AI

WHAT WE DO

Nitrogen equips financial advisors with a suite of AI-powered products that showcase the value of their advice so they can attract clients and keep them fearless. Since launching Riskalyze in 2011, we've been on a mission to create what we call Catalyst Moments — those powerful instances when an advisor helps a client go from confused to confident, from fearful to fearless.

Our connected suite brings together Risk Alignment, Investment Research, Income Planning, Tax Intelligence, and Legacy Planning, combining agentic AI with trusted, deterministic analytics to turn complex financial insights into persuasive visuals. The result: clearer conversations, stronger relationships, and advisors who can prove their value in every client meeting.

Trusted by tens of thousands of advisors, backed by an industry-leading NPS of 71, and the first wealthtech company to earn ISO 42001 certification, Nitrogen is built on 13 years of advisor data and half a trillion dollars in assets on platform. We invented the Risk Number®, built on a Nobel Prize-winning academic framework, and we champion the Fearless Investing Movement — because a world empowered to invest fearlessly starts with empowered advisors.

Nitrogen is an equal opportunity employer. We encourage people from underrepresented groups to apply. We are committed to being fair and intentional in our hiring decisions by reviewing every application thoroughly.

THE TEAM

Our Data and Services Team empowers the world to invest fearlessly by building agentic AI systems and the data-powered services behind them, directing fleets of AI developer tools to ship products that serve advisors and their firms across the wealth management industry.

As a Staff AI Execution Engineer on the Data & Services team, you'll lead how we design, build, and ship AI systems into production across Nucleus and our broader platform. This means architecting agentic workflows, building agent memory and orchestration, and standing up the evaluation frameworks that make agent decisions reliable at scale. You build primarily through agentic AI and you bring real depth in building AI products, pairing both with the data fluency our domain demands. You'll own these systems across their full lifecycle, from design through production, continuously raising what one engineer can deliver.

Staff AI Execution Engineer:

  • 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.

The expected compensation range for this role is a $200k-$220k + annual bonus target.

Lesser experience may result in lower compensation and greater experience may result in greater compensation than the stated range.


Benefits

Financial Benefits & Perks

  • 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.

Health & Family

  • 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!!

Time Away & Culture

  • 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.

WANT TO KNOW MORE?

While you can learn a lot from a job description, you may have more questions, and that’s totally okay! We encourage all individuals interested in working at Nitrogen to learn more about us by checking us out on our website and social media platforms:

Similar Jobs

An Hour Ago
In-Office or Remote
New York City, NY, USA
40K-55K Annually
Entry level
40K-55K Annually
Entry level
Healthtech • Social Impact • Telehealth
Provide high-touch operational support to the founders: manage calendars, travel, onboarding, HR workflows, NYC office operations, event coordination, meeting materials, triage communications, and ad hoc projects to keep the company running smoothly.
An Hour Ago
Easy Apply
Remote
USA
Easy Apply
130K-300K Annually
Mid level
130K-300K Annually
Mid level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Drive full-cycle enterprise sales to acquire strategic AI/ML and infrastructure customers. Prospect, qualify, negotiate complex high-ARR deals, manage pipeline and forecasts, partner with engineering, and ensure smooth handoffs to customer success. Represent Runpod at customer meetings and industry events.
Top Skills: Ai/MlCloudCRMGpu
An Hour Ago
Easy Apply
Remote
USA
Easy Apply
200K-300K Annually
Expert/Leader
200K-300K Annually
Expert/Leader
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead and scale Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.
Top Skills: Ai/Ml InfrastructureClaudeDockerGeminiGptGpu ComputeHubspotKubernetesLinearNotionPythonZendesk

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account