NewtonX

The world’s leading B2B research company, empowering more confident decisions.

Software Engineer - LLM Systems

LLM EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200Since 2016H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

Not specified

ReactType ScriptPythonNode.jsOpen AI APIAWSDockerRAG SystemsEmbeddingsSemantic SearchStreaming ArchitecturesLLM Integration

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role 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.

Qualifications

  • 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
  • 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

Requirements

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

Benefits

  • 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)

Job Requirements

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

Benefits

  • 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)

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