Axle Labs Logo

Axle Labs

Staff Engineer

Posted One Month Ago
Be an Early Applicant
In-Office
New York City, NY, USA
215K-270K Annually
Senior level
In-Office
New York City, NY, USA
215K-270K Annually
Senior level
Lead design and implementation of durable, scalable AI-native data pipelines and APIs that process millions of insurance transactions; develop AI-led techniques (LLM inference and agentic workflows) to improve extraction, validation, and verification; own product areas end-to-end and collaborate with founders and customers to increase reliability, observability, and velocity.
The summary above was generated by AI

Axle is building the AI-native clearinghouse for insurance, unlocking access to a core financial data primitive that impacts almost every industry and transaction. Our mission is to completely transform the communication layer for insurance.

As a Staff Engineer, you’ll be directly involved in guiding our core platform that pairs complex data structuring (using LLM inference) with durable data acquisition pipelines (using agentic workflows). The work you do will impact every customer we work with, across foundational use cases such as asset lending and business contracting.

We’re looking for individuals who think creatively about problems, push for real-world customer impact (not only theory), keep up to date on the latest in AI research, and are excited about helping financial data reach full connectivity.

Why you should consider joining
  • We have a product loved by customers and being used in mission-critical flows at Fortune 500 banks and leading brands like Hertz, Avis, and Audi.

  • We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact.

  • We're tackling unsolved problems at the intersection of complex data structuring, agentic workflows, and financial risk analysis.

  • We've grown revenue 5x this year to multiple $millions ARR, with our growth continuing to accelerate.

  • We care deeply about our team and provide great compensation and equity, full benefits & 401k, unlimited time-off, and plan an annual team offsite!

We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our early team ahead of our next round and execute on an ambitious roadmap.

Impact

We're powering mission-critical insurance data extraction, validation, and verification at companies where if we get things wrong, there are real world impacts (e.g., denied lending applications, modified compliance statuses, etc.).

Here's a few of the complex problems you’ll be working on:

  • Building industry-first evals for insurance data extractors and transformers

  • Integrating context and understanding to standardize high-variability data points

  • Understanding data management and hierarchy across overlapping data ingestors

  • Orchestrating self-healing agents that automatically get better over time

Role
  • Build, and maintain, durable, scalable systems capable of processing millions of complex transactions per month.

  • Define the interfaces (API-driven) to enable turn-key usage of our data platform across varied applications.

  • Design novel AI-led techniques for increasing the accuracy and reliability of our data integrations.

  • Have complete ownership over the work you do — as an early team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.

  • Work directly with the CTO and other founding members to help build out our team.

What would set you up for success
  • 6+ years of experience (or equivalent) building complex systems in high-scale environments.

  • A perspective when approaching common system patterns (e.g., state machines, event brokers, etc.) as well as API design and maintenance.

  • A desire to define ways to increase observability, simplicity, and velocity across our engineering processes.

  • Experience deploying AI/ML systems into production environments.

  • Ability to take abstract projects end-to-end, operating with high agency.

  • You've been at high-growth startups and know what "high velocity” looks like.

  • Experience in fintech or data aggregation is a plus.

Diversity, Equity, and Inclusion at Axle

Axle is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Axle is the AI-native clearinghouse for property and casualty insurance. Our infrastructure and AI agents automate complex insurance workflows for third parties including verification, monitoring, and policy updates. Read more about our vision: https://www.axle.insure/blog/announcing-our-17-5m-series-a-led-by-base10

We are backed by leading investors including Base10, Y Combinator, and Gradient Ventures (Google's AI fund) and angels from companies like Plaid and Cox Automotive.

Our team is in-person 4 days a week in our Flatiron/NoMad office in NYC and our West Midtown office in Atlanta.

Similar Jobs

Yesterday
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
265K-325K Annually
Senior level
265K-325K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services • Cryptocurrency
Lead the technical direction and implementation of Current’s machine learning platform, covering feature pipelines, training data, model training, serving, monitoring, reproducibility, and production-readiness standards. Establish scalable workflows, improve training-serving consistency, support data scientists, define model governance contracts, evaluate build-versus-buy tooling, and drive adoption across engineering, data science, risk, marketing, and finance.
Top Skills: AirflowApache BeamSparkBigQueryDataflowDbtGCPGoogle Cloud Kubernetes EngineGoogle Cloud StorageJvmKubernetesMl Feature StoresModel RegistriesMongoDBPythonSQL
2 Days Ago
Remote or Hybrid
New York, NY, USA
286K-392K Annually
Senior level
286K-392K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.
Top Skills: Agentic AiAi GovernanceAi ObservabilityAWSAws UltraclustersAzureC#C++CudaFoundation ModelsGoGCPHugging FaceJavaLarge Language ModelsModel EvaluationMulti-Agent WorkflowsPythonPyTorchScalaSimilarity SearchVectordbs
3 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
163K-247K Annually
Senior level
163K-247K Annually
Senior level
Fintech • HR Tech
Build and own backend services and APIs supporting retirement money movement, payments, settlements, reconciliation, compliance integrations, payroll, and financial workflows. The role involves shipping reliable production code, debugging incidents, improving observability, partnering with product, compliance, and operations, and mentoring engineers. Candidates should have extensive software engineering experience, financial systems expertise, end-to-end ownership, and Ruby on Rails or comparable backend framework experience.
Top Skills: Ai FrameworksAi ToolsAPIsRubyRuby On Rails

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