
11 - 50 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Implicit is an AI-powered knowledge and learning engine that enables teams to build custom, source-cited AI Experts and private LLMs from their own documents and data. Delivered as a secure, enterprise-oriented SaaS platform with APIs and integrations, Implicit focuses on accuracy, provenance, real-time updates, and governance to help organizations unify manuals, SOPs, tickets, and other content into a dynamic knowledge layer. It’s used for onboarding, support, operations, engineering, and product workflows across data-rich sectors.
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11 - 50 employees
Founded 2016
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Implicit is an AI-powered knowledge and learning engine that enables teams to build custom, source-cited AI Experts and private LLMs from their own documents and data. Delivered as a secure, enterprise-oriented SaaS platform with APIs and integrations, Implicit focuses on accuracy, provenance, real-time updates, and governance to help organizations unify manuals, SOPs, tickets, and other content into a dynamic knowledge layer. It’s used for onboarding, support, operations, engineering, and product workflows across data-rich sectors.
• Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents. • Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval. • Improve answer quality through prompt engineering, evaluation frameworks, and retrieval optimization. • Build and optimize production AI services using Python and modern AI frameworks. • Work with agentic development tools including Claude Code, Cursor, and AI-assisted coding workflows. • Write clean, maintainable, well-tested code with a strong focus on quality and reliability. • Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship new capabilities. • Evaluate emerging AI models, tools, and techniques to continuously improve the platform.
• 3+ years of experience building AI, machine learning, or NLP applications through industry, open-source, or research. • Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and semantic search. • Solid understanding of NLP, machine learning, and modern deep learning techniques. • Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks. • Strong Python development skills and experience building production software. • Experience working with APIs, vector databases, and AI application frameworks. • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Competitive compensation. • Flexible part-time schedule. • Remote work within the United States. • Flexible vacation policy. • Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team tackling challenging real-world problems.
Apply Now🕒 May 1
Lead Instructor at General Assembly teaching Agentic AI Engineering to Customer Success professionals transitioning to technical roles. Conducting live lectures and guiding hands-on labs in a 2-week intensive program.
🕒 December 4, 2025
AI developer/consultant assisting with databasing projects for a commercial real estate capital markets firm. Experience in developing AI machine learning processes and databasing required.