Position Details

Salary $180K – $220K USD / year

Type Full-Time

Experience mid

Exp. Years 3-4 years

Education Not specified

Category System Administration

About this role

NewtonX is hiring a Software Engineer to build the core LLM infrastructure powering two B2B research products: Hub and Prime. The role focuses on production-quality implementation of LLM integrations, semantic search, and automated expert knowledge capture at scale.

Key Responsibilities

Own core LLM infrastructure for Hub and Prime
Build self-serve B2B research features using RAG and adaptive workflows
Architect automated systems to capture expert opinions into longitudinal datasets and dashboards
Implement semantic search across proprietary corpora
Maintain research-grade quality with testing and code reviews

Technical Overview

You will develop full-stack features (React, TypeScript) and backend services (Python and/or Node.js) that integrate Large Language Models (LLMs) via OpenAI APIs and Anthropic APIs. The systems will run on AWS using Docker, with an emphasis on RAG (Retrieval Augmented Generation), embeddings, and semantic search across proprietary corpora.

Ideal Candidate

The ideal candidate is a mid-level software engineer with 3-4 years of production engineering experience, strong full-stack skills in React and TypeScript, and backend experience with Python or Node.js. They have hands-on experience integrating Large Language Models (LLMs) using OpenAI APIs and/or Anthropic APIs, and can build production AI pipelines with a quality mindset (testing and code reviews).

Must-Have Skills

production codeReactTypeScriptmodern frontend frameworksPythonNode.jsLarge Language Models (LLMs) integrationOpenAI APIsAnthropic APIsMachine Learning (ML) models in productionAWSDockermodern deployment practicestestingcode reviewshigh code quality standardsability to translate user needs into technical solutions

Nice-to-Have Skills

RAG systemsembeddingssemantic searchreal-time data process

Tools & Platforms

AWSAmazon Web ServicesDockerOpenAI APIsAnthropic APIs

Required Skills

ReactTypeScriptmodern frontend frameworksPythonNode.jsOpenAI APIsAnthropic APIsLarge Language Models (LLMs)Machine Learning (ML)AWSDockermodern deployment practicestestingcode reviewsRAG systemsembeddingssemantic searchreal-time data processproduction code

Hard Skills

ReactTypeScriptPythonNode.jsOpenAI APIsAnthropic APIsLarge Language Models (LLMs)Machine Learning (ML)AWSDockerTestingCode reviewsRAG systemsembeddingssemantic searchsemantic searchReal-time data processsemantic search across proprietary corporaAI pipelinesproduction codemodern deployment practices

Soft Skills

Customer focusAbility to translate user needs into technical solutionsQuality mindsetMaintaining high code quality standardsEagerness to learnUnderstanding of complex systems

Industry & Role

Industry SaaS

Job Function Build production LLM systems and semantic search infrastructure for B2B research products.

Role Subtype LLM Engineer

Tech Domains Amazon Web Services, Docker, Python, JavaScript, React, Node.js, AI & Machine Learning, Kubernetes

Keywords for Your Resume

Software EngineerSoftware Engineer - LLM SystemsLLMLarge Language Models (LLMs)AIMachine Learning (ML)RAGRetrieval Augmented Generation (RAG)embeddingssemantic searchOpenAIOpenAI APIsAnthropicAnthropic APIsPythonNode.jsReactTypeScriptAWSAmazon Web ServicesDockertestingcode reviewsproduction codeDocker containers

Deal Breakers

3-4 years of experience shipping production code in a fast-paced environment, Hands-on LLM integration experience with OpenAI/Anthropic APIs, Experience with AWS and Docker

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