Software Engineer - LLM Systems

NEWTONX INC.
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Computing Code Review Data Systems Python (Programming Language) Machine Learning Node.Js Search Technologies TypeScript Web Application Frameworks
+8 more
ReactJS Large Language Models Backend Production Code Free and Open-Source Software Machine Learning Operations Stream Processing Docker

Job description

In this role, you’ll own the core LLM infrastructure powering two products redefining B2B research:

Hub - The central cockpit for B2B research. Build self-serve features that compress weeks into days: question * expert insight * follow-up, powered by RAG and adaptive workflows.

Prime - Syndicated intelligence at scale. Architect automated systems that continuously capture expert opinions-creating longitudinal datasets and refreshable dashboards that compound in value.

The technical challenge: fusing structured survey data with unstructured expert knowledge, building semantic search across proprietary corpora, and creating AI pipelines that maintain research-grade quality at scale. If you love building novel data systems that turn raw signals into defensible, high-margin products, this is where you’ll do the most important work of your career.

Requirements

Required

  • You write exceptional code, fast. 3-4 years of experience shipping production code in a fast-paced environment
  • Full-stack expertise: Moderate proficiency in React, TypeScript, and modern frontend frameworks. Backend experience with Python, Node.js, or similar
  • AI/ML implementation experience: Hands-on experience integrating LLMs, building with OpenAI/Anthropic APIs, or implementing ML models in production. We care more about a demonstrated eagerness to learn and an understanding of complex systems than specific years.
  • Cloud and infrastructure: Experience with AWS, Docker, and modern deployment practices
  • Quality mindset: Experience with testing, code reviews, and maintaining high code quality standards
  • Customer focus: Ability to translate user needs into technical solutions while maintaining engineering best practices

Nice To Have

  • RAG systems, embeddings, semantic search
  • Real-time data processing or streaming architectures
  • Open-source contributions in AI/ML

Benefits & conditions

  • Exceptional traction: Strong product-market fit with the world’s largest investment banks, hedge funds, and consulting firms
  • World-class team: We take talent density seriously. Work alongside incredibly smart, driven people who are passionate about their craft
  • High velocity: Ship features that directly impact how billion-dollar decisions are made
  • Growth opportunity: Join during a hypergrowth phase with clear paths for technical and career advancement
  • Impact: Your work will directly shape how the world’s leading organizations make critical business decisions

What We Offer

  • Excellent medical, dental, and vision insurance.
  • 401k match with immediate vesting.
  • Generous Paid time off, holidays, and parental leave.
  • A diverse, collaborative, and positive culture where we invest in and celebrate each other’s success.

Flexible work environment where we work hard but have fun (happy hours, team projects, and retreats).

About the company

NewtonX is a B2B insights company trusted by the world’s most innovative companies to make high-stakes decisions with confidence. We combine a verified network of business professionals with AI-powered research tools to deliver research intelligence faster, more precise, and more defensible than traditional methods.

Our clients include Google, Microsoft, TikTok, DoorDash, Stripe, and Coinbase. Our research has been cited by Fortune, Forbes, TechCrunch, Adweek, and the Wall Street Journal.

NewtonX has raised $47M from investors including Two Sigma Ventures, Third Prime, XFund, and Citi Ventures.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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