Numeral Logo

Numeral

Software Engineer, AI

Reposted One Month Ago
Hybrid
New York, NY, USA
175K-300K Annually
Senior level
Hybrid
New York, NY, USA
175K-300K Annually
Senior level
Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.
The summary above was generated by AI
About Numeral:

Numeral is transforming how taxes get done. Digital businesses are currently bogged down by a painful web of regulations across 47 states and 70+ countries. We’re eliminating this burden so teams can focus on their core mission.

We’re the largest and fastest-growing AI-native tax solution. Started in 2023, Numeral has raised over $57M from Benchmark, Mayfield, Y-Combinator, and many others. We now serve over 3,000 paying customers and have more than tripled our revenue every year in our history.

About the role:

We’re looking for a Foundational AI Engineer who thrives in ambiguity, enjoys building real-world AI systems end-to-end, and wants to define the technical and architectural foundations of an early-stage startup.

This is a hands-on role for someone who wants to design and implement LLM-powered automation systems: model orchestration, tool calling, MCP-style integrations, agentic workflows, and automation-driven tooling.

What you’ll do:
  • Design, build, and operate production AI systems, including tool-calling agents, model orchestration layers, and RAG.

  • Implement and maintain AI integrations using modern frameworks, MCP servers, and external model providers.

  • Build and evolve scalable backend services and APIs that power automated workflows and customer-facing features.

  • Think in automation and workflows: design systems using tools like n8n, Claude Code-style agents, or similar orchestration approaches.

  • Make architectural decisions that balance latency, cost, reliability, and iteration speed.

  • Own infrastructure, observability, and performance for both AI and non-AI services.

  • Collaborate closely with product, design, and data teams to ship features that solve real customer problems.

  • Help define engineering best practices, AI safety/reliability norms, and our overall technical culture.

What you’ll bring:
  • 7+ years of experience building products in high-growth environments.

  • 2+ years of experience building with LLMs.

  • Avid use of state-of-the-art AI development tools such as Cursor and Claude Code.

  • Fluency with backend technologies like PostgreSQL, Redis, and cloud services (AWS preferred).

  • Experience with frontend development, especially TypeScript and its ecosystem.

  • Strong product sense, balancing performance, flexibility, and speed.

  • Comfortable working in dynamic startup environments with evolving needs.

  • Excellent communication and collaboration skills.

  • Startup mindset: Not scared of ambiguity and hungry for rapid growth

  • Intensity & Ownership: This is not a 9-5 — we’re scaling rapidly and have a massive opportunity ahead of us.

  • Customer Obsession: You deeply care about the user experience and solving their problems

Nice to haves:
  • Experience in payments, tax, accounting, or regulatory tech.

  • Experience with automation tools (n8n, Zapier-style systems, workflow engines) or building internal automation platforms.

  • Familiarity with MCPs, tool calls, agent frameworks, or model orchestration patterns.

  • Understanding of vector databases and concepts (such as Pinecone, HNSW).

Location:
  • This role is hybrid (3 days a week in our NYC office)

What we offer:
  • Competitive salary and equity - you'll share directly in the company's success

  • Full medical, dental, and vision coverage

  • Wellness perks like Headspace and the Peloton One App

  • 401(k) to help you build long-term financial security

  • Relocation assistance to NYC or SF (if needed)

  • Lunch and snacks when you're in the office

  • Regular team offsites and company events as we grow

  • A culture built on ownership - your work matters and people will see it!

Similar Jobs

5 Days Ago
Hybrid
New York City, NY, USA
180K-250K Annually
Mid level
180K-250K Annually
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Build AI-powered features and products for clinical documentation and medical coding. Develop LLM-driven agentic systems, APIs, services, and production infrastructure across healthcare revenue cycle workflows. Create evaluation frameworks and experimentation loops using statistical and data-driven methods to ensure reliability, auditability, and alignment with coding guidelines and user feedback. Collaborate with product, design, machine learning, clinical, and revenue cycle experts to deliver high-impact SaaS solutions.
Top Skills: Agentic Ai SystemsAPIsEdiFhirHl7Large Language Models (Llms)PythonSaaS
8 Days Ago
Easy Apply
Hybrid
New York City, NY, USA
Easy Apply
151K-297K Annually
Senior level
151K-297K Annually
Senior level
Big Data • Cloud • Software • Database
Provide technical leadership and build core components for a scalable AI application platform. Design distributed systems infrastructure, improve performance and reliability, shape architecture and development practices, conduct code reviews, mentor engineers, and lead complex projects from conception through delivery. Collaborate with product, engineering, and design teams to evolve the platform and enhance developer experience.
Top Skills: AWSCloud ServicesContainerizationDistributed SystemsGoGCPJavaKubernetesAzureMongoDBPython
12 Days Ago
Remote or Hybrid
US
175K-175K Annually
Expert/Leader
175K-175K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.
Top Skills: BigQueryCi/CdConfluenceDataflowDebeziumGoGoogle Cloud Platform (Gcp)JIRAPub/SubPythonRest ApisScrumSQL

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