AI Software EngineerNumerator / Market Track, LLC • New York, New York, United States
AI Software Engineer
Numerator / Market Track, LLC
- New York, New York, United States
- New York, New York, United States
À propos
Job Description Numerator is looking for a passionate
AI Software Engineer
to join our growing
Machine Learning
team. This is a unique opportunity where you will work with an established platform that handles millions of requests and massive amounts of data. You will design, build, deploy, and support high-performance deep learning systems in a rapidly scaling environment.
As a member of our team, you will make an immediate impact by building out and expanding our technology platforms across several software products. This high growth role gives you the chance to drive decisions for projects from inception through production.
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
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 — understand why these techniques work, not just how to call them
Data acumen: can critically assess a dataset, spot distribution problems, and reason about how data quality affects downstream model and business outcomes
Product orientation: 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
Genuine habit of self-improvement — follow the field actively, experiment with new models and tools, and bring what's relevant back to the team
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)
Benefits
An inclusive and collaborative company culture – an open environment while working together to get things done and adapting to changing needs
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
Additional wellness resources and flexible policies
About Numerator Numerator is 2,000 employees strong. We embrace diversity and foster innovation through diverse experiences, ideas, and backgrounds.
Being part of the Numerati means we’ll take care of you! From Recharge Days, maximum flexibility policy, wellness resources for employees and their families, to development opportunities and more — we’re always finding ways to better support, celebrate, and accelerate our team.
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Compétences linguistiques
- English
Avis aux utilisateurs
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