Numerator

AI Software Engineer

Numerator • $100K — $140K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • 2+ years of experience in building and deploying ML or GenAI systems in production.
  • Strong understanding of GenAI fundamentals including LLM APIs and context engineering.
  • Proven data assessment skills for spotting distribution problems and data quality implications.
  • Ability to engage productively with business contexts and translate requirements into technical solutions.
  • Solid foundation in Python and software engineering best practices.

Responsibilities

  • Apply agentic LLM patterns to automate complex tasks historically handled by humans.
  • Design and implement GenAI-powered solutions for various NLP tasks like classification and summarization.
  • Develop and maintain ML APIs and data pipelines for model-driven automation across products.
  • Collaborate with MLOps and product teams throughout the problem-solving and deployment process.
  • Stay updated on the GenAI landscape and integrate new capabilities into team operations.

Benefits

  • Inclusive and collaborative company culture with an open environment.
  • Volunteer time off and charitable donation matching.
  • Strong support for career growth through mentorship and training.
  • Opportunities to attend conferences and engage with employee resource groups.
Full Job Description
AI Software Engineer
How You'll Spend Your Time:
  • Apply agentic LLM patterns (tool use, multi-step reasoning, orchestration) to automate high-complexity tasks that previously required human judgment
  • Design and build GenAI-powered solutions for complex NLP tasks - NER, classification, information retrieval, summarization, and structured output generation
  • Build and maintain production ML APIs and data pipelines that deliver model-driven automation and insight into Numerator's products at scale
  • Work closely with MLOps engineers, product & engineering managers, and other teams, owning a large part of the process from problem understanding to shipping the solution.
  • Stay current with the fast-moving GenAI landscape and translate new capabilities into practical team impact
Skills & Requirements
What You'll Bring to Numerator
  • 2+ years of experience building and deploying ML or GenAI systems in production
  • Strong practical GenAI fundamentals: LLM APIs, context engineering, RAG, tool/function calling, skills, agents and evaluation methodology - you understand why these techniques work, not just how to call them
  • Data acumen: you can critically assess a dataset, spot distribution problems, and reason about how data quality affects downstream model and business outcomes
  • Product orientation: you engage with business context naturally, ask the right clarifying questions, and translate ambiguous requirements into well-scoped technical solutions
  • Solid Python and software engineering fundamentals - clean, testable code, REST API design, debugging, and familiarity with CI/CD
  • A genuine habit of self-improvement - you follow the field actively, experiment with new models and tools, and bring what's relevant back to the team

Extra, Nice to haves
  • Experience with agentic orchestration frameworks
  • Fine-tuning experience with modern techniques - especially applied to domain adaptation for NLP tasks
  • PyTorch or Hugging Face familiarity
  • Familiarity with LLM evaluation frameworks and a structured approach to measuring model quality
  • Inference optimization awareness - understanding latency/cost/accuracy tradeoffs for LLM solutions
  • Experience building and deploying robust machine learning APIs in production environments (ideally cloud-based environments such as AWS or GCP)

What We Offer
  • An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come.
  • Market competitive total compensation package.
  • Volunteer time off and charitable donation matching.
  • Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.

About Numerator

Numerator is a market research company founded in 2018. The company provides a range of market research services, including consumer insights, brand tracking, and advertising effectiveness. Numerator's platform is designed to help companies make data-driven decisions by providing them with real-time insights into consumer behavior. The company is headquartered in Chicago, Illinois, and has additional offices in New York, San Francisco, and Ottawa.
Learn more about Numerator
Size
1,500 employees
Industry
Media
Founded
1990
* Ladders Estimates

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