AI/ML Full-Stack Software Developer (OpenSearch Focus)

Position Overview

AI/ML Full-Stack Software Developer (OpenSearch Focus) at Security 2.0, Inc. is building the world's first AI-Powered Search Engine for the Security Domain, integrated into the Security Television Network. Leveraging OpenSearch, NVIDIA GPU infrastructure, and Microsoft Azure AI/Cloud services, this role is central to designing, implementing, and optimizing large-scale, high-performance systems. You will join a small, agile team of engineers to build the Minimum Viable Product from the ground up.

Key Responsibilities

• Design & Build: Architect and implement backend and frontend features for the AI-Powered Search Engine using OpenSearch as the central search and indexing layer.
• Integrate AI/ML: Build machine learning pipelines (NLP, embeddings, ranking, generative models) optimized for OpenSearch and GPU acceleration.
• Full-Stack Development: Develop backend APIs (Python/Node/Java) and responsive front-end interfaces (React/Next.js, TypeScript).
• Cloud & Infrastructure: Deploy and scale services on Microsoft Azure, leveraging Kubernetes, Docker, and CI/CD workflows.
• Optimization: Improve search performance, latency, and relevance ranking using AI-driven methods.
• Collaboration: Work closely with fellow developers, the CTO, and product leadership to deliver a functional MVP under aggressive timelines.

Required Qualifications

• Strong hands-on development experience in AI/ML and full-stack engineering.
• Full-Stack Expertise: Proficient in backend (Python, Node.js, or Java) and frontend (React, Next.js, TypeScript) development.
• OpenSearch/Elasticsearch: Deep knowledge of query DSL, custom plugins, cluster optimization, and relevance tuning.
• Cloud Infrastructure: Experience with Microsoft Azure (preferred) or other cloud providers; familiarity with Kubernetes and containerization (Docker).
• CI/CD Pipelines: Familiarity with GitHub Actions, GitLab CI, or Azure DevOps.
• GPU-Acceleration: Exposure to CUDA, the NVIDIA stack, or GPU-optimized machine learning pipelines.
• Proven track record of building high-impact software products from the ground up.
• Self-starter who thrives in startup environments with shifting priorities.

Benefits & Perks

• Compensation: Base salary targeted between $110,000 and $200,000 (depending on experience) with competitive equity. Note that this is an early-stage role with deferred salary until post-funding (seed round closing).
• Benefits: Full medical, dental, vision, and retirement benefits post-Series A.
• Upside Potential: Direct opportunity to shape and own a critical component of the company’s core product.
• Innovative Environment: Work with cutting-edge NVIDIA and Microsoft technologies as part of a founding engineering team.
• Career Growth: Build a career-defining product with global impact in the security and media ecosystem.
• Culture: Join a culture that values builders, ownership, and innovation over bureaucracy.