CompanyInsights.AI · 3 weeks ago
Full-Stack AI/ML Engineer
United States
Full-time
Remote
Mid, Senior LevelCompanyInsights.AI is a fully bootstrapped Enterprise AI company specializing in building robust, secure, and highly accurate Data Intelligence and Conversational platforms. They are seeking 1–2 Full-Stack AI/ML Engineers to join their founding engineering team, where the engineers will take ownership of critical systems and contribute to the core platform that powers enterprise solutions.
Computer Software
Responsibilities
Own data ingestion, inference pipelines, and platform interfaces end-to-end
Build, experiment, iterate, and ship production-ready AI/ML solutions rapidly
Collaborate closely with the founding team to deliver enterprise-grade solutions
Thrive in a fast-paced startup environment where high-impact delivery is the norm
Qualification
Required
Own data ingestion, inference pipelines, and platform interfaces end-to-end
Build, experiment, iterate, and ship production-ready AI/ML solutions rapidly
Collaborate closely with the founding team to deliver enterprise-grade solutions
Thrive in a fast-paced startup environment where high-impact delivery is the norm
Tech Stack Backend: Python, FastAPI, Llamaindex
Frontend: Node.js, Typescript, React
Data Storage: PostgreSQL, MongoDB, AWS S3
DevOps: Docker, Git, AWS (vendor and LLM-agnostic)
Vector Search / RAG: Pinecone, embedding models, dense/sparse indexes, hybrid search, rerankers
Location: Fully remote
Schedule: Working hours must significantly overlap with PST/EST time zones (non-negotiable)
Culture: Fast-paced, high-ownership environment. We value work-life balance but prioritize critical deliverables when enterprise clients depend on us
Preferred
Hands-on experience with GenAI, Agentic AI, or RAG-based projects
Experience with vector databases (Pinecone preferred), embedding models, and semantic search architectures
Understanding of dense vs. sparse indexing strategies, metadata filtering, and hybrid search techniques
Familiarity with context engineering, prompt optimization, and chunking strategies for document retrieval
Understanding of ETL orchestration principles
Strong first-principles thinking and problem-solving abilities
Collaborative mindset with a focus on team success over individual recognition
Entrepreneurial drive and ambition to grow with an early-stage company
Benefits
Flexible compensation structures tailored to your situation
Salary + minimal equity stake
Significant equity stake with deferred salary + backpay upon reaching ARR targets
Company
CompanyInsights.AI
We help enterprises turn unstructured data into a strategic asset using secure, intelligent solutions powered by Retrieval-Augmented Generation (RAG).
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase