Discovr AI is shaping the future of AI-driven product visibility with our revolutionary platform GEO. GEO combines deep analytics with AI-optimized content generation to connect brands with customers through advanced reasoning models and real-time signals. This powerful platform helps teams solve complex engineering and discovery challenges, offering cutting-edge solutions for modern marketing needs. Discovr AI is committed to driving innovation and redefining visibility in the AI era.

Role Overview

We’re looking for a

Founding Engineer

who thrives in fast-paced startup environments, enjoys building from scratch, and wants to step into a Tech Lead track role. This is an opportunity to shape both the core architecture and the engineering culture of Discovr AI.

Location:

Remote

Experience:

3–5 years

Key Responsibilities

Architect, design, and develop scalable backend systems and APIs for the GEO platform.
Build systems from scratch with focus on performance, scalability, and reliability.
Integrate LLM-based workflows into production systems and analytics pipelines.
Make key architectural decisions and own the technical roadmap in collaboration with the founding team.
Ensure engineering best practices: code quality, testing, CI/CD, and architecture reviews.
Collaborate with product and AI teams to deliver high-quality features.
Mentor junior engineers as the team grows and step into a Tech Lead role.

Required Skills & Experience

Backend expertise: Strong proficiency in Node.js, API design, and microservices.
Database knowledge: Experience with both SQL (Postgres/MySQL) and NoSQL (MongoDB/DynamoDB).
LLM familiarity: Prior work with LLM APIs (OpenAI, Anthropic, HuggingFace, etc.) or production-scale NLP systems.
Cloud technologies: Experience with AWS, Azure, or Google Cloud and cloud-native architecture.
System design: Strong understanding of architecture, scalability, and performance optimization.
Agile methods: Hands-on with Agile/Scrum, Git-based workflows, and project management tools.
Bonus: Exposure to data science, analytics pipelines, or ML infrastructure.

What We’re Looking For

A hands-on builder with a strong ownership mindset.
Someone eager to step into leadership while staying close to the code.
Excited by AI, generative models, and the future of search/distribution.
Startup-ready: thrives in fast-paced, experimental environments.

Skills:- NodeJS (Node.js), Systems analysis and design, API Design, LLM API, Amazon Web Services (AWS), Windows Azure, Google Cloud Platform (GCP), NOSQL Databases and SQL

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