NewtonX

HQ
New York
Year Founded: 2016

Jobs at NewtonX

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Recently posted jobs

9 Hours AgoSaved
Hybrid
Medellín, Antioquia, COL
Artificial Intelligence • Information Technology • Professional Services • Software
Design and build fault-tolerant, modular backend systems: REST APIs, scalable queueing/streaming, and data pipelines. Contribute to architecture, code review, debugging, CI/CD, and mentor junior engineers while collaborating with product, data, and US-based teams.
4 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Information Technology • Professional Services • Software
Lead EMEA enterprise growth by prospecting and closing large accounts, building regional brand and outbound campaigns, designing bespoke research proposals, managing multi-stakeholder sales cycles, and mentoring junior sales staff.
18 Days AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Professional Services • Software
Build and own core LLM infrastructure for two products: self-serve research workflows and automated syndicated intelligence. Implement full-stack features (React/TypeScript front end, Python/Node.js back end), integrate LLMs (OpenAI/Anthropic), design semantic search and RAG pipelines, ensure cloud deployment (AWS, Docker), maintain testing and code quality, and translate user needs into scalable, research-grade AI systems.
18 Days AgoSaved
Remote or Hybrid
New York City, NY, USA
Artificial Intelligence • Information Technology • Professional Services • Software
Build and scale Python/Django REST APIs and React UIs, own department-wide technical initiatives, improve test coverage and system reliability, debug technical debt, mentor engineers, and drive architecture and tooling decisions.
18 Days AgoSaved
Remote or Hybrid
New York City, NY, USA
Artificial Intelligence • Information Technology • Professional Services • Software
Lead development of performant React UIs and Python/Django backend services. Own architecture and org-level initiatives, improve test coverage, resolve technical debt, mentor engineers, and drive secure, scalable system design and best practices across the stack.